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gap-x-8 xsm:flex-row"><div class="w-4/5"><div class="flex flex-col gap-x-4 xsm:flex-row"><img alt="raghavan848 " fetchPriority="high" width="80" height="80" decoding="async" data-nimg="1" class="w-full h-full mx-5 xsm:m-0 xsm:w-40 xsm:h-40 rounded-full bg-slate-200 relative xsm:-top-10 -ml-2 border border-white border-8 box-content" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Favatars.githubusercontent.com%2Fu%2F493090%3Fv%3D4&w=96&q=75 1x, /_next/image?url=https%3A%2F%2Favatars.githubusercontent.com%2Fu%2F493090%3Fv%3D4&w=256&q=75 2x" src="/_next/image?url=https%3A%2F%2Favatars.githubusercontent.com%2Fu%2F493090%3Fv%3D4&w=256&q=75"/><span class="flex flex-col justify-center"><h1 class="flex max-w-full flex-col gap-3 text-2xl font-bold leading-5">Raghavan Muthuregunathan<span class="text-base font-medium">@raghavan848</span></h1></span></div><div class="mb-6 flex w-full flex-col gap-11 mdlg:hidden"><div class="relative flex h-16 w-full items-center"><div class="absolute top-5 z-20 flex items-center gap-5 md:left-14"><span></span><div class="text-xs text-gray-400 sm:text-base">Ranking system <br/>is under improvement</div></div></div></div><div class="flex flex-col gap-y-6"><div><div class="inline-flex flex-col text-center"><div class="flex items-center gap-x-1.5 justify-start"><p class="text-right text-lg font-semibold">29</p><h3 class="text-base">Events attended</h3></div><div class="flex items-center gap-x-1.5 justify-start"><p class="text-right text-lg font-semibold">16</p><h3 class="text-base">Submissions made</h3></div></div></div><div class="flex flex-col gap-y-2"><span class="flex items-center gap-x-2"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor" aria-hidden="true" data-slot="icon" class="size-6 text-gray-700"><path fill-rule="evenodd" d="m11.54 22.351.07.04.028.016a.76.76 0 0 0 .723 0l.028-.015.071-.041a16.975 16.975 0 0 0 1.144-.742 19.58 19.58 0 0 0 2.683-2.282c1.944-1.99 3.963-4.98 3.963-8.827a8.25 8.25 0 0 0-16.5 0c0 3.846 2.02 6.837 3.963 8.827a19.58 19.58 0 0 0 2.682 2.282 16.975 16.975 0 0 0 1.145.742ZM12 13.5a3 3 0 1 0 0-6 3 3 0 0 0 0 6Z" clip-rule="evenodd"></path></svg><p class="text-sm text-gray-500">United States</p></span><span class="flex items-center gap-x-2"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor" aria-hidden="true" data-slot="icon" class="size-6 text-gray-700"><path d="M11.644 1.59a.75.75 0 0 1 .712 0l9.75 5.25a.75.75 0 0 1 0 1.32l-9.75 5.25a.75.75 0 0 1-.712 0l-9.75-5.25a.75.75 0 0 1 0-1.32l9.75-5.25Z"></path><path d="m3.265 10.602 7.668 4.129a2.25 2.25 0 0 0 2.134 0l7.668-4.13 1.37.739a.75.75 0 0 1 0 1.32l-9.75 5.25a.75.75 0 0 1-.71 0l-9.75-5.25a.75.75 0 0 1 0-1.32l1.37-.738Z"></path><path d="m10.933 19.231-7.668-4.13-1.37.739a.75.75 0 0 0 0 1.32l9.75 5.25c.221.12.489.12.71 0l9.75-5.25a.75.75 0 0 0 0-1.32l-1.37-.738-7.668 4.13a2.25 2.25 0 0 1-2.134-.001Z"></path></svg><p class="text-sm text-gray-500">2 years of experience</p></span></div><div><h3 class="text-base font-bold text-gray-900">About me</h3><p class="text-sm text-gray-500">Live and breath AI https://www.linkedin.com/in/raghavanmit/</p></div><div><h3 class="text-base font-bold text-gray-900">Socials</h3><div class="flex items-start mt-2"><a class="mr-2" aria-label="discord" target="_blank" rel="noreferrer nofollow" href="https://discordapp.com/users/535307742890688512"><svg xmlns="http://www.w3.org/2000/svg" width="26" height="20" fill="#374151"><path d="M21.733 1.74a20.3 20.3 0 0 0-5.13-1.639.08.08 0 0 0-.082.04c-.222.406-.467.936-.639 1.353a18.6 18.6 0 0 0-5.76 0A14 14 0 0 0 9.471.14a.08.08 0 0 0-.082-.04c-1.8.32-3.522.88-5.13 1.64a.1.1 0 0 0-.033.03C.96 6.802.065 11.71.504 16.556a.1.1 0 0 0 .033.061 20.7 20.7 0 0 0 6.292 3.279.08.08 0 0 0 .089-.03c.484-.682.917-1.402 1.287-2.158a.083.083 0 0 0-.044-.115 13.6 13.6 0 0 1-1.965-.966.085.085 0 0 1-.008-.138q.2-.154.39-.315a.08.08 0 0 1 .082-.011c4.124 1.94 8.589 1.94 12.664 0a.08.08 0 0 1 .082.01q.191.162.392.316a.085.085 0 0 1-.007.138c-.628.379-1.28.698-1.967.965a.084.084 0 0 0-.043.116c.379.755.811 1.475 1.287 2.157.02.029.055.041.088.031a20.6 20.6 0 0 0 6.303-3.279.08.08 0 0 0 .032-.06c.526-5.603-.88-10.47-3.726-14.785a.07.07 0 0 0-.032-.031M8.82 13.606c-1.242 0-2.265-1.175-2.265-2.618S7.56 8.369 8.821 8.369c1.271 0 2.284 1.185 2.265 2.618 0 1.443-1.004 2.618-2.265 2.618m8.373 0c-1.241 0-2.264-1.175-2.264-2.618s1.003-2.618 2.264-2.618c1.272 0 2.285 1.185 2.265 2.618 0 1.443-.993 2.618-2.265 2.618"></path></svg></a><a class="mx-2" aria-label="github" target="_blank" rel="noreferrer nofollow" href="https://github.com/Raghavan1988/"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="#374151"><path fill="#374151" fill-rule="evenodd" d="M11.496.574a11.47 11.47 0 0 0-7.403 2.711A11.35 11.35 0 0 0 .219 10.12a11.3 11.3 0 0 0 1.501 7.7 11.42 11.42 0 0 0 6.161 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0 0 21.822.632a4.65 4.65 0 0 1-1.97 2.567 9 9 0 0 0 2.573-.727 9.4 9.4 0 0 1-2.245 2.41"></path></svg></a><a class="mx-2" aria-label="personalwebsite" target="_blank" rel="noreferrer nofollow" href="https://www.linkedin.com/in/raghavanmit/"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" fill-rule="evenodd" clip-rule="evenodd" fill="#374151"><path d="M12.02 0C18.634.011 24 5.383 24 12c0 6.623-5.376 12-12 12S0 18.623 0 12C0 5.383 5.367.011 11.981 0zm3.694 16H8.287c.639 4.266 2.242 7 3.713 7s3.075-2.734 3.714-7m6.535 0h-5.523c-.426 2.985-1.321 5.402-2.485 6.771A11.03 11.03 0 0 0 22.249 16M7.275 16H1.751a11.03 11.03 0 0 0 8.009 6.771C8.596 21.402 7.701 18.985 7.275 16m-.123-7H1.416a11.04 11.04 0 0 0 0 6h5.736a30 30 0 0 1 0-6m8.691 0H8.158a28.6 28.6 0 0 0 0 6h7.685a28.6 28.6 0 0 0 0-6m6.742 0h-5.736c.062.592.308 3.019 0 6h5.736a11.04 11.04 0 0 0 0-6M9.76 1.229A11.03 11.03 0 0 0 1.751 8h5.524c.426-2.985 1.321-5.403 2.485-6.771M15.714 8C15.075 3.734 13.472 1 12 1S8.926 3.734 8.287 8zm-1.473-6.771C15.405 2.597 16.3 5.015 16.726 8h5.523a11.03 11.03 0 0 0-8.008-6.771"></path></svg></a></div></div></div></div><div class="hidden w-max flex-col gap-11 xsm:mt-8 mdlg:flex"><div class="relative flex h-16 w-full items-center"><div class="absolute top-5 z-20 flex items-center gap-5 md:left-14"><span></span><div class="text-xs text-gray-400 sm:text-base">Ranking system <br/>is under improvement</div></div></div><div class="hidden rounded-md border border-gray-100 bg-gray-50 p-6 mdlg:block"><div style="position:relative;width:280px;height:280px"><svg width="280" height="280" style="position:absolute;overflow:visible"></svg></div></div></div></div></div></section><section class="z-10"><div class="mt-6"></div><div class="mt-6 w-[1024px]"><h3 class="mb-2 text-center text-lg font-bold xllg:text-start">🤝 Top Collabolators</h3><div class="mt-3 flex flex-col items-center justify-center gap-3 xsm:grid xsm:grid-cols-[repeat(2,max-content)] xllg:grid-cols-4"><div class="lg:w-70 h-full w-60 rounded-lg bg-white px-4 py-3 shadow undefined"><a class="flex flex-col justify-center" href="/u/@iamzvid"><div class="shrink-0"><img alt="iamzvid img" loading="lazy" width="210" height="195" decoding="async" data-nimg="1" class="h-48 w-full rounded-lg object-cover lg:w-full" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fprofile%2Fprofile%2520(82).png&w=256&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fprofile%2Fprofile%2520(82).png&w=640&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fprofile%2Fprofile%2520(82).png&w=640&q=75"/></div><h4 class="mt-4 text-base font-bold text-black">Md Zaid Abid Khan</h4><p class="mb-3 line-clamp-1 text-sm text-slate-500"></p><div class=" h-[9ch]"><p class="mb-3 line-clamp-4 text-sm text-slate-500"></p></div></a><div class="flex items-center mt-2"><a class="mx-3" aria-label="discord" target="_blank" rel="noreferrer nofollow" href="https://discordapp.com/users/1126701231201595503"><svg xmlns="http://www.w3.org/2000/svg" width="26" height="20" fill="#374151"><path d="M21.733 1.74a20.3 20.3 0 0 0-5.13-1.639.08.08 0 0 0-.082.04c-.222.406-.467.936-.639 1.353a18.6 18.6 0 0 0-5.76 0A14 14 0 0 0 9.471.14a.08.08 0 0 0-.082-.04c-1.8.32-3.522.88-5.13 1.64a.1.1 0 0 0-.033.03C.96 6.802.065 11.71.504 16.556a.1.1 0 0 0 .033.061 20.7 20.7 0 0 0 6.292 3.279.08.08 0 0 0 .089-.03c.484-.682.917-1.402 1.287-2.158a.083.083 0 0 0-.044-.115 13.6 13.6 0 0 1-1.965-.966.085.085 0 0 1-.008-.138q.2-.154.39-.315a.08.08 0 0 1 .082-.011c4.124 1.94 8.589 1.94 12.664 0a.08.08 0 0 1 .082.01q.191.162.392.316a.085.085 0 0 1-.007.138c-.628.379-1.28.698-1.967.965a.084.084 0 0 0-.043.116c.379.755.811 1.475 1.287 2.157.02.029.055.041.088.031a20.6 20.6 0 0 0 6.303-3.279.08.08 0 0 0 .032-.06c.526-5.603-.88-10.47-3.726-14.785a.07.07 0 0 0-.032-.031M8.82 13.606c-1.242 0-2.265-1.175-2.265-2.618S7.56 8.369 8.821 8.369c1.271 0 2.284 1.185 2.265 2.618 0 1.443-1.004 2.618-2.265 2.618m8.373 0c-1.241 0-2.264-1.175-2.264-2.618s1.003-2.618 2.264-2.618c1.272 0 2.285 1.185 2.265 2.618 0 1.443-.993 2.618-2.265 2.618"></path></svg></a></div></div><div class="lg:w-70 h-full w-60 rounded-lg bg-white px-4 py-3 shadow undefined"><a class="flex flex-col justify-center" href="/u/@Tonic"><div class="shrink-0"><img alt="Tonic img" loading="lazy" width="210" height="195" decoding="async" data-nimg="1" class="h-48 w-full rounded-lg object-cover lg:w-full" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fcll46or7401rmlc0he5s74qpi_ep03p34_picture.jpg&w=256&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fcll46or7401rmlc0he5s74qpi_ep03p34_picture.jpg&w=640&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fcll46or7401rmlc0he5s74qpi_ep03p34_picture.jpg&w=640&q=75"/></div><h4 class="mt-4 text-base font-bold text-black">Joseph Pollack</h4><p class="mb-3 line-clamp-1 text-sm text-slate-500"></p><div class=" h-[9ch]"><p class="mb-3 line-clamp-4 text-sm text-slate-500">👋🏻Hi there folks, i'm here to produce the backoffice and productive environment of the future where multiple agents interact to produce an office's worth of knowledge. Specifically i'm focussed on simple interfaces to deliver highly specific and precise business intelligence , creating decision support systems based on these & then AI-augmented executions of investment theses. - join me on huggingface : https://www.huggingface.co/multitransformer - join my build-in-public discord : https://discord.gg/VqTxc76K3u - contribute here : https://github.com/tonic-ai</p></div></a><div class="flex items-center mt-2"><a class="mx-3" aria-label="discord" target="_blank" rel="noreferrer nofollow" href="https://discordapp.com/users/994979735488692324"><svg xmlns="http://www.w3.org/2000/svg" width="26" height="20" fill="#374151"><path d="M21.733 1.74a20.3 20.3 0 0 0-5.13-1.639.08.08 0 0 0-.082.04c-.222.406-.467.936-.639 1.353a18.6 18.6 0 0 0-5.76 0A14 14 0 0 0 9.471.14a.08.08 0 0 0-.082-.04c-1.8.32-3.522.88-5.13 1.64a.1.1 0 0 0-.033.03C.96 6.802.065 11.71.504 16.556a.1.1 0 0 0 .033.061 20.7 20.7 0 0 0 6.292 3.279.08.08 0 0 0 .089-.03c.484-.682.917-1.402 1.287-2.158a.083.083 0 0 0-.044-.115 13.6 13.6 0 0 1-1.965-.966.085.085 0 0 1-.008-.138q.2-.154.39-.315a.08.08 0 0 1 .082-.011c4.124 1.94 8.589 1.94 12.664 0a.08.08 0 0 1 .082.01q.191.162.392.316a.085.085 0 0 1-.007.138c-.628.379-1.28.698-1.967.965a.084.084 0 0 0-.043.116c.379.755.811 1.475 1.287 2.157.02.029.055.041.088.031a20.6 20.6 0 0 0 6.303-3.279.08.08 0 0 0 .032-.06c.526-5.603-.88-10.47-3.726-14.785a.07.07 0 0 0-.032-.031M8.82 13.606c-1.242 0-2.265-1.175-2.265-2.618S7.56 8.369 8.821 8.369c1.271 0 2.284 1.185 2.265 2.618 0 1.443-1.004 2.618-2.265 2.618m8.373 0c-1.241 0-2.264-1.175-2.264-2.618s1.003-2.618 2.264-2.618c1.272 0 2.285 1.185 2.265 2.618 0 1.443-.993 2.618-2.265 2.618"></path></svg></a><a class="mx-3" aria-label="github" target="_blank" rel="noreferrer nofollow" href="https://github.com/Josephrp"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="#374151"><path fill="#374151" fill-rule="evenodd" d="M11.496.574a11.47 11.47 0 0 0-7.403 2.711A11.35 11.35 0 0 0 .219 10.12a11.3 11.3 0 0 0 1.501 7.7 11.42 11.42 0 0 0 6.161 4.9c.568.106.782-.246.782-.545s-.012-1.167-.016-2.115c-3.179.687-3.85-1.342-3.85-1.342-.52-1.317-1.269-1.663-1.269-1.663-1.037-.704.078-.69.078-.69 1.149.08 1.752 1.171 1.752 1.171 1.019 1.737 2.674 1.235 3.325.941.103-.735.4-1.236.727-1.52-2.54-.286-5.208-1.26-5.208-5.615a4.39 4.39 0 0 1 1.177-3.05c-.117-.286-.509-1.441.112-3.01 0 0 .96-.306 3.143 1.164 1.873-.51 3.85-.51 5.723 0 2.182-1.47 3.14-1.165 3.14-1.165.622 1.566.23 2.721.113 3.01a4.38 4.38 0 0 1 1.179 3.055c0 4.363-2.674 5.325-5.217 5.605.408.354.774 1.045.774 2.106 0 1.52-.014 2.743-.014 3.118 0 .303.207.657.786.546a11.42 11.42 0 0 0 6.161-4.901 11.3 11.3 0 0 0 1.5-7.702 11.35 11.35 0 0 0-3.875-6.834A11.47 11.47 0 0 0 11.5.574z" clip-rule="evenodd"></path></svg></a><a class="mx-3" aria-label="twitter" target="_blank" rel="noreferrer nofollow" href="https://twitter.com/josephpollack"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="19" fill="#374151"><path d="M20.18 4.882c.009.203.009.396.009.598.009 6.137-4.5 13.22-12.745 13.22-2.431 0-4.819-.726-6.869-2.088a8.791 8.791 0 0 0 6.63-1.932c-1.917-.036-3.603-1.334-4.19-3.229.675.138 1.368.11 2.024-.083-2.085-.423-3.585-2.327-3.594-4.544v-.056a4.3 4.3 0 0 0 2.032.58C1.516 5.986.904 3.272 2.093 1.148c2.28 2.906 5.635 4.664 9.239 4.857a4.77 4.77 0 0 1 1.295-4.444c1.802-1.757 4.642-1.665 6.346.203A8.7 8.7 0 0 0 21.822.632a4.65 4.65 0 0 1-1.97 2.567 9 9 0 0 0 2.573-.727 9.4 9.4 0 0 1-2.245 2.41"></path></svg></a></div></div><div class="lg:w-70 h-full w-60 rounded-lg bg-white px-4 py-3 shadow undefined"><a class="flex flex-col justify-center" href="/u/@Muhammad-Arham"><div class="shrink-0"><img alt="Muhammad-Arham img" loading="lazy" width="210" height="195" decoding="async" data-nimg="1" class="h-48 w-full rounded-lg object-cover lg:w-full" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fclczvh2uh000l6h0s9o7p35hd_vz03gmr_picture.jpg&w=256&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fclczvh2uh000l6h0s9o7p35hd_vz03gmr_picture.jpg&w=640&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fusers%252Fclczvh2uh000l6h0s9o7p35hd_vz03gmr_picture.jpg&w=640&q=75"/></div><h4 class="mt-4 text-base font-bold text-black">Muhammad Arham</h4><p class="mb-3 line-clamp-1 text-sm text-slate-500"></p><div class=" h-[9ch]"><p class="mb-3 line-clamp-4 text-sm text-slate-500"> Software engineer. Problem Solver. Finalist of ChatGPT API hackathon. Code enthusiast.</p></div></a><div class="flex items-center mt-2"><a class="mx-3" aria-label="discord" target="_blank" rel="noreferrer nofollow" href="https://discordapp.com/users/1064800825047777280"><svg xmlns="http://www.w3.org/2000/svg" width="26" height="20" fill="#374151"><path d="M21.733 1.74a20.3 20.3 0 0 0-5.13-1.639.08.08 0 0 0-.082.04c-.222.406-.467.936-.639 1.353a18.6 18.6 0 0 0-5.76 0A14 14 0 0 0 9.471.14a.08.08 0 0 0-.082-.04c-1.8.32-3.522.88-5.13 1.64a.1.1 0 0 0-.033.03C.96 6.802.065 11.71.504 16.556a.1.1 0 0 0 .033.061 20.7 20.7 0 0 0 6.292 3.279.08.08 0 0 0 .089-.03c.484-.682.917-1.402 1.287-2.158a.083.083 0 0 0-.044-.115 13.6 13.6 0 0 1-1.965-.966.085.085 0 0 1-.008-.138q.2-.154.39-.315a.08.08 0 0 1 .082-.011c4.124 1.94 8.589 1.94 12.664 0a.08.08 0 0 1 .082.01q.191.162.392.316a.085.085 0 0 1-.007.138c-.628.379-1.28.698-1.967.965a.084.084 0 0 0-.043.116c.379.755.811 1.475 1.287 2.157.02.029.055.041.088.031a20.6 20.6 0 0 0 6.303-3.279.08.08 0 0 0 .032-.06c.526-5.603-.88-10.47-3.726-14.785a.07.07 0 0 0-.032-.031M8.82 13.606c-1.242 0-2.265-1.175-2.265-2.618S7.56 8.369 8.821 8.369c1.271 0 2.284 1.185 2.265 2.618 0 1.443-1.004 2.618-2.265 2.618m8.373 0c-1.241 0-2.264-1.175-2.264-2.618s1.003-2.618 2.264-2.618c1.272 0 2.285 1.185 2.265 2.618 0 1.443-.993 2.618-2.265 2.618"></path></svg></a><a class="mx-3" aria-label="linkedin" target="_blank" rel="noreferrer nofollow" href="https://www.linkedin.com/in/muhammad-arham-95b8331a4/"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="#374151"><path fill="#374151" d="M21.302 0H1.698A1.7 1.7 0 0 0 0 1.698v19.604A1.7 1.7 0 0 0 1.698 23h19.604A1.7 1.7 0 0 0 23 21.302V1.698A1.7 1.7 0 0 0 21.302 0M6.855 19.593H3.397V8.61h3.458zM5.124 7.087A1.985 1.985 0 1 1 7.12 5.103a1.957 1.957 0 0 1-1.996 1.984M19.6 19.603h-3.456v-6.001c0-1.77-.753-2.316-1.724-2.316-1.025 0-2.031.773-2.031 2.36v5.957H8.932V8.617h3.325v1.522h.045c.334-.675 1.503-1.83 3.287-1.83 1.93 0 4.014 1.145 4.014 4.5z"></path></svg></a></div></div><div class="lg:w-70 h-full w-60 rounded-lg bg-white px-4 py-3 shadow undefined"><a class="flex flex-col justify-center" href="/u/@Kashif515"><div class="shrink-0"><img alt="Kashif515 img" loading="lazy" width="210" height="195" decoding="async" data-nimg="1" class="h-48 w-full rounded-lg object-cover lg:w-full" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fusers%2Fclmav81xv002e9e19q2mgzukd_picture_y11rog17rb.jpg&w=256&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fusers%2Fclmav81xv002e9e19q2mgzukd_picture_y11rog17rb.jpg&w=640&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fusers%2Fclmav81xv002e9e19q2mgzukd_picture_y11rog17rb.jpg&w=640&q=75"/></div><h4 class="mt-4 text-base font-bold text-black">Muhammad Kashif Javed Akhter</h4><p class="mb-3 line-clamp-1 text-sm text-slate-500"></p><div class=" h-[9ch]"><p class="mb-3 line-clamp-4 text-sm text-slate-500">Physics and Machine Learning, </p></div></a><div class="flex items-center mt-2"><a class="mx-3" aria-label="discord" target="_blank" rel="noreferrer nofollow" href="https://discordapp.com/users/1149757207081123842"><svg xmlns="http://www.w3.org/2000/svg" width="26" height="20" fill="#374151"><path d="M21.733 1.74a20.3 20.3 0 0 0-5.13-1.639.08.08 0 0 0-.082.04c-.222.406-.467.936-.639 1.353a18.6 18.6 0 0 0-5.76 0A14 14 0 0 0 9.471.14a.08.08 0 0 0-.082-.04c-1.8.32-3.522.88-5.13 1.64a.1.1 0 0 0-.033.03C.96 6.802.065 11.71.504 16.556a.1.1 0 0 0 .033.061 20.7 20.7 0 0 0 6.292 3.279.08.08 0 0 0 .089-.03c.484-.682.917-1.402 1.287-2.158a.083.083 0 0 0-.044-.115 13.6 13.6 0 0 1-1.965-.966.085.085 0 0 1-.008-.138q.2-.154.39-.315a.08.08 0 0 1 .082-.011c4.124 1.94 8.589 1.94 12.664 0a.08.08 0 0 1 .082.01q.191.162.392.316a.085.085 0 0 1-.007.138c-.628.379-1.28.698-1.967.965a.084.084 0 0 0-.043.116c.379.755.811 1.475 1.287 2.157.02.029.055.041.088.031a20.6 20.6 0 0 0 6.303-3.279.08.08 0 0 0 .032-.06c.526-5.603-.88-10.47-3.726-14.785a.07.07 0 0 0-.032-.031M8.82 13.606c-1.242 0-2.265-1.175-2.265-2.618S7.56 8.369 8.821 8.369c1.271 0 2.284 1.185 2.265 2.618 0 1.443-1.004 2.618-2.265 2.618m8.373 0c-1.241 0-2.264-1.175-2.264-2.618s1.003-2.618 2.264-2.618c1.272 0 2.285 1.185 2.265 2.618 0 1.443-.993 2.618-2.265 2.618"></path></svg></a><a class="mx-3" aria-label="github" target="_blank" rel="noreferrer nofollow" href="https://github.com/Muhammad-Kashif-javed"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="#374151"><path fill="#374151" fill-rule="evenodd" d="M11.496.574a11.47 11.47 0 0 0-7.403 2.711A11.35 11.35 0 0 0 .219 10.12a11.3 11.3 0 0 0 1.501 7.7 11.42 11.42 0 0 0 6.161 4.9c.568.106.782-.246.782-.545s-.012-1.167-.016-2.115c-3.179.687-3.85-1.342-3.85-1.342-.52-1.317-1.269-1.663-1.269-1.663-1.037-.704.078-.69.078-.69 1.149.08 1.752 1.171 1.752 1.171 1.019 1.737 2.674 1.235 3.325.941.103-.735.4-1.236.727-1.52-2.54-.286-5.208-1.26-5.208-5.615a4.39 4.39 0 0 1 1.177-3.05c-.117-.286-.509-1.441.112-3.01 0 0 .96-.306 3.143 1.164 1.873-.51 3.85-.51 5.723 0 2.182-1.47 3.14-1.165 3.14-1.165.622 1.566.23 2.721.113 3.01a4.38 4.38 0 0 1 1.179 3.055c0 4.363-2.674 5.325-5.217 5.605.408.354.774 1.045.774 2.106 0 1.52-.014 2.743-.014 3.118 0 .303.207.657.786.546a11.42 11.42 0 0 0 6.161-4.901 11.3 11.3 0 0 0 1.5-7.702 11.35 11.35 0 0 0-3.875-6.834A11.47 11.47 0 0 0 11.5.574z" clip-rule="evenodd"></path></svg></a><a class="mx-3" aria-label="linkedin" target="_blank" rel="noreferrer nofollow" href="https://www.linkedin.com/in/muhammad-kashif-javed-akhter-513314263"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="#374151"><path fill="#374151" d="M21.302 0H1.698A1.7 1.7 0 0 0 0 1.698v19.604A1.7 1.7 0 0 0 1.698 23h19.604A1.7 1.7 0 0 0 23 21.302V1.698A1.7 1.7 0 0 0 21.302 0M6.855 19.593H3.397V8.61h3.458zM5.124 7.087A1.985 1.985 0 1 1 7.12 5.103a1.957 1.957 0 0 1-1.996 1.984M19.6 19.603h-3.456v-6.001c0-1.77-.753-2.316-1.724-2.316-1.025 0-2.031.773-2.031 2.36v5.957H8.932V8.617h3.325v1.522h.045c.334-.675 1.503-1.83 3.287-1.83 1.93 0 4.014 1.145 4.014 4.5z"></path></svg></a></div></div></div></div><div class="mt-10 flex w-[1024px] flex-col items-center justify-center"><h2 class="mb-2 text-lg font-bold xllg:self-start">🤓 Latest Submissions</h2><ul class="flex flex-col gap-4 xllg:grid xllg:grid-cols-3 xllg:grid-rows-1"><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/ai-startup-hackathon-episode-4/polyglot-gpt/polyglot-gpt"><img alt="Polyglot GPT" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(16).png&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(16).png&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(16).png&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">Polyglot GPT</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500"> Problem: GPT (and other large language models) are english centric. Although they understand a lot of languages, they are less accurate in instruction following in other languages. The vocabulary limit of GPT is limited and cannot handle all the world languages effectively When the prompt is not in english, GPT responses are 2X slower. Opportunity: A middleware AI layer , that translates prompts between any language and GPT, without having to retrain GPT to instruction follow in the target language Business opportunity: Opens up prompt engineering outside of English. Opens up GPT (or other LLM) to be effectively used by 1 billion non english speakers across the globe. https://docs.google.com/presentation/d/1pTw-u-xJt_L8Y8l2y5KZSdaMGJq0BiLAbxhkYhfKQ74/edit?usp=sharing </p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/ai-startup-hackathon-episode-4">Hackathon link</a><p class="text-sm text-gray-500">9 Oct 2023</p></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/ai-challenge-with-gpt-3-5-codex-dall-e-and-whisper-api/arxivdeepdive/arxiv-deep-dive"><img alt="arxiv deep dive" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnsmzp16000z3b7d5ooyicc7%2Fundefined_imageLink_8528a1hs2.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnsmzp16000z3b7d5ooyicc7%2Fundefined_imageLink_8528a1hs2.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnsmzp16000z3b7d5ooyicc7%2Fundefined_imageLink_8528a1hs2.jpg&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">arxiv deep dive</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500">We are trying to solve the following two problems for a beginner researcher 1. (Identifying prominent Authors) Embarking on a research journey in a new domain can be daunting. One of the pivotal first steps involves identifying and understanding the foundational works and prominent authors in that particular field. This use case addresses the pressing need of novice researchers to quickly and efficiently find the leading authors and seminal papers in their area of interest. 2. (Learn the basics) Technical jargons are an intrinsic part of any scientific discipline. They facilitate precise communication among experts but can be a major hurdle for beginners. This use case caters to the immediate need of newcomers to decode these specialized terms, understand their meanings, and relate them to familiar concepts through analogies. </p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/ai-challenge-with-gpt-3-5-codex-dall-e-and-whisper-api">Hackathon link</a><p class="text-sm text-gray-500">16 Oct 2023</p></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/falcon-llms-24-hours-hackathon/falcon-for-researchers/falcon-bbr-brainstorming-buddy-for-researchers"><img alt="Falcon BBR - Brainstorming buddy for Researchers" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclmxluxbr001f286ij8fxuzgv%2Fundefined_imageLink_739u11jr1.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclmxluxbr001f286ij8fxuzgv%2Fundefined_imageLink_739u11jr1.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclmxluxbr001f286ij8fxuzgv%2Fundefined_imageLink_739u11jr1.jpg&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">Falcon BBR - Brainstorming buddy for Researchers</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500">Researchers often read a long paper but are often stuck in INNOVATORS block. They need INSPIRATION and Falcon can help provide a CRAZY Idea. Sometimes LLM hallucination can help in providing the inspiration. This tool has index 16415 arxiv articles from August 2023 User has to input arxiv article ID - Tool would summarize the paper in few bullet points - Propose a CREATIVE next step for future research - Choose an ORTHOGONAL FIELD and proposes how the findings of the paper can be applied. In summary, this should help any researcher get INSPIRATION on to WHAT TO DO NEXT as innovation happens when DOTS are connected across orthogonal fields Demo: https://huggingface.co/spaces/Raghavan1988/falcon-lablabai-hackathon-brainstorming-buddy-for-researchers</p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/falcon-llms-24-hours-hackathon">Hackathon link</a><p class="text-sm text-gray-500">24 Sep 2023</p></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/open-interpreter-hackathon/githubbuddy/codebasebuddy"><img alt="CodeBaseBuddy" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnoqglwo001w286in3edqsue%2Fundefined_imageLink_d32pfg1vmk.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnoqglwo001w286in3edqsue%2Fundefined_imageLink_d32pfg1vmk.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fsubmissions%2Fclnoqglwo001w286in3edqsue%2Fundefined_imageLink_d32pfg1vmk.jpg&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">CodeBaseBuddy</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500"> Navigating through a new GitHub repository can be daunting, especially when one is unfamiliar with its structure and logic. The "CodeBase Buddy" system leverages the power of GPT's retrieval augmented generation capabilities to guide users through their first tasks in a new codebase. By analyzing the repository's structure, commit history, and documentation, it provides specific pointers on which files to modify and how to go about those changes. Users can input a task description, and the system would subsequently offer step-by-step guidance, akin to having an experienced developer by their side.</p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/open-interpreter-hackathon">Hackathon link</a><p class="text-sm text-gray-500">14 Oct 2023</p></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/legaltech-ai-hackathon/askuscismanualgpt/ask-uscis-chat"><img alt="Ask USCIS chat" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(5).png&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(5).png&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(5).png&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">Ask USCIS chat</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500">Immigrating to a new country (eg. US) is a complex legal process.. Legal teams need to be able to understand how USCIS adjudicates every petition across various various visa categories. Very specific question personalized to each case does not have answer in Google. Based on Harvey startup, legal tech is the perfect text-in => text out business. USCIS is the governmental agency that administers countries naturalization and immigration. We have developed a RAG system for the 2000 page USCIS field manual. Anyone can ask question to the RAG (Retrieval Augmented System) and get a detailed answer. </p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/legaltech-ai-hackathon">Hackathon link</a><p class="text-sm text-gray-500">25 Oct 2023</p></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/autogen-24-hours-hackathon/debugyourcode/autogen-debugger-an-agent-to-debug-python-program"><img alt="AutoGen Debugger -An agent to debug python program" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(20).png&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(20).png&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fmidjourney%2Fsubmission%2Fsubmission%2520(20).png&w=828&q=75"/><div class="mt-2 max-w-[19rem] flex-col overflow-hidden text-sm"><h4 class="mt-2 line-clamp-2 h-10 text-lg font-bold leading-5 text-black">AutoGen Debugger -An agent to debug python program</h4><div class="h-[100px]"><p class="mt-2 line-clamp-4 self-center text-ellipsis text-justify text-sm text-gray-500">Problem statement: When you write a very long program and if it does not work, we spend hours debugging the program with breakpoints and log statements and print statements. Copy pasting the entire code to GPT may not solve the problem due to token limit. Solution: We introduce an autogen based agent that uses tools ReadFileTool and ProfilerTool 1. Executes the program 2. Track line by line execution 3. Identify the part that caused the bug 4. Recommend user a fix Advantages: Reduces several hours of debugging thereby improving developer productivity disclaimer: LLMs are known to hallucinate </p></div></div></a><div class="flex justify-between"><a class="text-[#4f46e5] underline" href="https://lablab.ai/event/autogen-24-hours-hackathon">Hackathon link</a><p class="text-sm text-gray-500">3 Nov 2023</p></div></div></ul></div><div class="mt-10 flex w-[1024px] flex-col items-center justify-center"><h2 class="mb-2 text-lg font-bold xllg:self-start">📝 Certificates</h2><ul class="flex flex-col gap-4 xllg:grid xllg:grid-cols-3 xllg:grid-rows-1 false"><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/semantic-search-hackathon"><img alt="Semantic Search AI Hackathon" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fevents%252Fclb6icbc80000356h55tly7kr%252Fclb6icbc80000356h55tly7kr_wf23h3n_thumbnailLink.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fevents%252Fclb6icbc80000356h55tly7kr%252Fclb6icbc80000356h55tly7kr_wf23h3n_thumbnailLink.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%252Fevents%252Fclb6icbc80000356h55tly7kr%252Fclb6icbc80000356h55tly7kr_wf23h3n_thumbnailLink.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">Semantic Search AI Hackathon | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/cld34k4s7004xde0s20uuq112">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/gemini-ai-hackathon"><img alt="Gemini AI Hackathon" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclpwpj3og000f357f0vttkxzm%2Fundefined_thumbnailLink_v8ecu0lxj.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclpwpj3og000f357f0vttkxzm%2Fundefined_thumbnailLink_v8ecu0lxj.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclpwpj3og000f357f0vttkxzm%2Fundefined_thumbnailLink_v8ecu0lxj.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">Gemini AI Hackathon | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/clsu4nvw6000e6pfevn940vel">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/yi-llms-24-hours-hackathon"><img alt="Yi 200k context window LLMs Hackathon" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclozlvg420000356qdubx5xuz%2Fundefined_thumbnailLink_uckxk0b25.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclozlvg420000356qdubx5xuz%2Fundefined_thumbnailLink_uckxk0b25.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclozlvg420000356qdubx5xuz%2Fundefined_thumbnailLink_uckxk0b25.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">Yi 200k context window LLMs Hackathon | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/clqcc1jrz000b1ji67tacu2mi">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/rag-llms-with-your-data"><img alt="RAG: LLMs with your data" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclnxevogc00003574egffqeo9%2Fundefined_thumbnailLink_b32gz0sv0.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclnxevogc00003574egffqeo9%2Fundefined_thumbnailLink_b32gz0sv0.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclnxevogc00003574egffqeo9%2Fundefined_thumbnailLink_b32gz0sv0.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">RAG: LLMs with your data | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/clpjs237f0013lzfhe8voon35">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/legaltech-ai-hackathon"><img alt="Legal AI Challenge" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclneypg6l0000356tdo9bvcff%2Fundefined_thumbnailLink_b146sw1mxn.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclneypg6l0000356tdo9bvcff%2Fundefined_thumbnailLink_b146sw1mxn.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclneypg6l0000356tdo9bvcff%2Fundefined_thumbnailLink_b146sw1mxn.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">Legal AI Challenge | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/clor5rkzh002pck0wttbvbfdl">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/ai-startup-hackathon-episode-4"><img alt="Build Your AI StartUp. Episode 4" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclm33wbft0000356zzhvauh83%2Fclm33wbft0000356zzhvauh83_thumbnailLink_wl2pem1736.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclm33wbft0000356zzhvauh83%2Fclm33wbft0000356zzhvauh83_thumbnailLink_wl2pem1736.jpg&w=828&q=75 2x" src="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclm33wbft0000356zzhvauh83%2Fclm33wbft0000356zzhvauh83_thumbnailLink_wl2pem1736.jpg&w=828&q=75"/></a><div class="w-72"><div class="my-2 text-sm"><h4 class="h-10 text-lg font-bold leading-5 text-black mt-2 line-clamp-2">Build Your AI StartUp. Episode 4 | Certificate</h4></div></div><div class="py-2"><a target="_blank" rel="noreferrer noopener" class="text-sm text-blue-500" href="/u/@raghavan848/clor61yls002fc60wdmhog03n">View Certificate</a></div></div><div class="flex-col justify-center rounded-lg bg-white px-4 py-3 shadow"><a class="max-h-[200px]" href="/event/autogen-24-hours-hackathon"><img alt="AutoGen 24-hours Hackathon" loading="lazy" width="400" height="200" decoding="async" data-nimg="1" class="h-[10.7rem] w-[19rem] self-center overflow-hidden rounded-lg" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclnt0anfw0000356x05jvzrou%2Fundefined_thumbnailLink_za5u6c10xm.jpg&w=640&q=75 1x, /_next/image?url=https%3A%2F%2Fstorage.googleapis.com%2Flablab-static-eu%2Fimages%2Fevents%2Fclnt0anfw0000356x05jvzrou%2Fundefined_thumbnailLink_za5u6c10xm.jpg&w=828&q=75 2x" 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They need INSPIRATION and Falcon can help provide a CRAZY Idea.\nSometimes LLM hallucination can help in providing the inspiration.\n\nThis tool has index 16415 arxiv articles from August 2023\nUser has to input arxiv article ID\n- Tool would summarize the paper in few bullet points\n- Propose a CREATIVE next step for future research\n- Choose an ORTHOGONAL FIELD and proposes how the findings of the paper can be applied.\n\nIn summary, this should help any researcher get INSPIRATION on to WHAT TO DO NEXT as innovation happens when DOTS are connected across orthogonal fields\n\nDemo: https://huggingface.co/spaces/Raghavan1988/falcon-lablabai-hackathon-brainstorming-buddy-for-researchers","slug":"falcon-bbr-brainstorming-buddy-for-researchers"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"open-interpreter-hackathon","endAt":"2023-10-14T16:00:00.000Z"},"team":{"slug":"githubbuddy","submission":{"title":"CodeBaseBuddy","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clnoqglwo001w286in3edqsue/undefined_imageLink_d32pfg1vmk.jpg","description":"\nNavigating through a new GitHub repository can be daunting, especially when one is unfamiliar with its structure and logic. The \"CodeBase Buddy\" system leverages the power of GPT's retrieval augmented generation capabilities to guide users through their first tasks in a new codebase. By analyzing the repository's structure, commit history, and documentation, it provides specific pointers on which files to modify and how to go about those changes. Users can input a task description, and the system would subsequently offer step-by-step guidance, akin to having an experienced developer by their side.","slug":"codebasebuddy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"legaltech-ai-hackathon","endAt":"2023-10-25T16:00:00.000Z"},"team":{"slug":"askuscismanualgpt","submission":{"title":"Ask USCIS chat","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(5).png","description":"Immigrating to a new country (eg. US) is a complex legal process..\nLegal teams need to be able to understand how USCIS adjudicates every petition across various various visa categories.\nVery specific question personalized to each case does not have answer in Google.\nBased on Harvey startup, legal tech is the perfect text-in =\u003e text out business.\nUSCIS is the governmental agency that administers countries naturalization and immigration.\nWe have developed a RAG system for the 2000 page USCIS field manual.\nAnyone can ask question to the RAG (Retrieval Augmented System) and get a detailed answer.\n","slug":"ask-uscis-chat"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"autogen-24-hours-hackathon","endAt":"2023-11-03T17:00:00.000Z"},"team":{"slug":"debugyourcode","submission":{"title":"AutoGen Debugger -An agent to debug python program","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(20).png","description":"Problem statement: \nWhen you write a very long program and if it does not work, we spend hours debugging the program with \nbreakpoints and\nlog statements and\nprint statements.\nCopy pasting the entire code to GPT may not solve the problem due to token limit.\n\nSolution: We introduce an autogen based agent that uses tools ReadFileTool and ProfilerTool\n\n1. Executes the program\n2. Track line by line execution\n3. Identify the part that caused the bug\n4. Recommend user a fix\n\nAdvantages:\nReduces several hours of debugging thereby improving developer productivity\ndisclaimer: LLMs are known to hallucinate\n","slug":"autogen-debugger-an-agent-to-debug-python-program"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"rag-llms-with-your-data","endAt":"2023-11-09T20:00:00.000Z"},"team":{"slug":"team-tonic","submission":{"title":"MultiMed","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/cloriaztc0000356takwzn5es/undefined_imageLink_pg60io0kqy.jpg","description":"MultiMed is an innovative platform poised to transform the landscape of medical education and public health communication. At its core, MultiMed leverages cutting-edge technology to address a critical gap in healthcare: the delivery of complex medical knowledge and public health information in a way that is accessible, accurate, and culturally sensitive across language barriers.\n\nOur platform is built upon a sophisticated hallucination detection system, which ensures the integrity and reliability of the information provided. This system is crucial in the medical field, where the accuracy of information can be a matter of life and death. \n\nThe conversational chat and retrieval system is another cornerstone of the MultiMed experience. It is designed to mimic the nuanced understanding of a human medical professional, providing users with an interactive, engaging, and personalized experience. Whether it's a medical student seeking to clarify a complex concept or a member of the public looking to understand health guidelines, our system is equipped to handle inquiries with precision and empathy.\n\nMultiMed's multilingual support is not just a feature; it's a commitment to inclusivity. We recognize that language is one of the most significant barriers to the dissemination of medical knowledge and healthcare information. Our service breaks down these barriers by offering seamless support in multiple languages, ensuring that both medical professionals and the public have access to vital information in their native tongues.\n\nBy providing a single, reliable source for medical education and public health messaging, we empower users to bypass the confusion of disparate information sources. This centralization is not only about convenience; it's about ensuring consistency and reliability in the information that shapes public health outcomes.","slug":"multimed"},"participants":[{"user":{"profile":{"userId":"cll46or7401rmlc0he5s74qpi","picture":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fcll46or7401rmlc0he5s74qpi_ep03p34_picture.jpg","image":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fusers%2Fcll46or7401rmlc0he5s74qpi_gx03p8l_cover.jpg","userName":"Tonic","firstName":"Joseph","lastName":"Pollack","about":"👋🏻Hi there folks, i'm here to produce the backoffice and productive environment of the future where multiple agents interact to produce an office's worth of knowledge.\n\n\nSpecifically i'm focussed on simple interfaces to deliver highly specific and precise business intelligence , creating decision support systems based on these \u0026 then AI-augmented executions of investment theses.\n\n\n- join me on huggingface :\n https://www.huggingface.co/multitransformer\n\n- join my build-in-public discord : \n https://discord.gg/VqTxc76K3u\n\n- contribute here : \n https://github.com/tonic-ai","discordId":"994979735488692324","githubUrl":"https://github.com/Josephrp","linkedinUrl":"","twitterUrl":"https://twitter.com/josephpollack","public":true}}},{"user":{"profile":{"userId":"clczvh2uh000l6h0s9o7p35hd","picture":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fclczvh2uh000l6h0s9o7p35hd_vz03gmr_picture.jpg","image":null,"userName":"Muhammad-Arham","firstName":"Muhammad","lastName":"Arham","about":" Software engineer. Problem Solver. Finalist of ChatGPT API hackathon. Code enthusiast.","discordId":"1064800825047777280","githubUrl":"","linkedinUrl":"https://www.linkedin.com/in/muhammad-arham-95b8331a4/","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clmav81xv002e9e19q2mgzukd","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/clmav81xv002e9e19q2mgzukd_picture_y11rog17rb.jpg","image":null,"userName":"Kashif515","firstName":"Muhammad Kashif Javed","lastName":"Akhter","about":"Physics and Machine Learning, ","discordId":"1149757207081123842","githubUrl":"https://github.com/Muhammad-Kashif-javed","linkedinUrl":"https://www.linkedin.com/in/muhammad-kashif-javed-akhter-513314263","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}},{"user":{"profile":{"userId":"cljvjpqls0l8gl70h20uvmokn","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/undefined_picture_6z3gw40mwj.jpg","image":null,"userName":"RooSalama","firstName":"Rawan","lastName":"Salama","about":"","discordId":"870981187982737441","githubUrl":"","linkedinUrl":"https://www.linkedin.com/in/rawankhsalama","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clongnyc20059b60w4oum5uk6","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/undefined_picture_ti5vza0m25.jpg","image":null,"userName":"lain247","firstName":"hafedh","lastName":"hichri","about":"working hard to provide for my dog ","discordId":"594064588320800788","githubUrl":"https://github.com/not-lain","linkedinUrl":"https://www.linkedin.com/in/hafedh-hichri/","twitterUrl":"https://twitter.com/not_so_lain","public":true}}}]}},{"event":{"slug":"nextgen-gpt-ai-hackathon","endAt":"2024-01-22T12:00:00.000Z"},"team":null},{"event":{"slug":"yi-llms-24-hours-hackathon","endAt":"2023-12-01T17:00:00.000Z"},"team":{"slug":"arxiv-researcher-and-yi34b","submission":{"title":" Unleashing Creativity with Yi 34B and Langchain","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(20).png","description":"100s of new arxiv papers are uploaded everyday\nHow do I get new ideas to apply them for my field ?\nHow do i get a quick gist of the paper and related papers?\n\nLoom video of Demo: https://www.loom.com/share/a9d151a59a7c4fe68a8cc94b6a118d9d?sid=90a5d924-d995-4716-8a3b-c4da861e2e1d\n\nThis helps improve creativity of researchers by applying the ideas of a specific ARXIV paper to a completely new field.\nThis helps create a gist of the large arxiv paper with just the URL\nThere by improving their productivity\nIt also helps create a summary of all the related papers by doing a vector search based on the title","slug":"unleashing-creativity-with-yi-34b-and-langchain"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"gemini-ai-hackathon","endAt":"2023-12-22T17:00:00.000Z"},"team":{"slug":"polyglot-gemini","submission":{"title":"PolyGlot Gemini lens for PDFs","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clqnt1l5200003d66fqp0peut/undefined_imageLink_7r1hey0syr.jpg","description":"Problem Statement:\n1) Over 70% of PDFs contain critical data in images like charts and tables, especially research articles\n2) Gemini is released for English only today. \nCan we build a solution for \n1) Answering natural language questions based on images in PDFs ?\n2) Making Gemini accessible for non english speakers? \n\nBy leveraging Spire, Open AI GPT 3.5, Gemini Pro Vision and Trulens, I have built an application that solves both problems\n\n- Spire for Image Extraction\n- Open AI for Translation to English (optional)\n- Gemini-Pro-Vision for the answer\n- TruLens for Monitoring \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","slug":"polyglot-gemini-lens-for-pdfs"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"accelerate-and-innovate-2023-year-end-hackathon","endAt":"2024-01-10T17:00:00.000Z"},"team":{"slug":"osscommunitybot","submission":null,"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}},{"user":{"profile":{"userId":"clr7bo5mj0024kmj67appiu2i","picture":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/profile/profile%20(9).png","image":null,"userName":"swethac18","firstName":"Swetha","lastName":"Chandrasekar","about":null,"discordId":"480561040522870794","githubUrl":null,"linkedinUrl":null,"twitterUrl":null,"public":true}}}]}},{"event":{"slug":"advanced-rag-hackathon","endAt":"2024-04-19T16:00:00.000Z"},"team":{"slug":"llama-buddy","submission":{"title":"llama buddy","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(26).png","description":"Chat with your PDF is the standard RAG 101 example.\nIn this hack, we demonstrate an example of Chat with your code base. \nProblem:\n\nImagine you are trying to contribute to a new code base (a github repository) for a beginner task.\nKnowing which file to change, where to make the change can be time consuming.\nThis is NOT about CODE COMPLETION. \n\nThis a semantic code search application deployable locally and works from a terminal.\nBusiness impact:\nDevelopers would have enhanced productivity and be willing to buy this RAG application\nCode completion tools do not tell where to make the changes on an existing code base.\n","slug":"llama-buddy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"assistants-api-llamaindex-mongodb-battle","endAt":"2024-05-03T16:00:00.000Z"},"team":null},{"event":{"slug":"twelve-labs-weekend-hackathon","endAt":"2024-05-05T16:00:00.000Z"},"team":{"slug":"cricket","submission":{"title":"Cricket Video Analyzer - 12 labs RAG","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(21).png","description":"Cricket VIDEO ANALYZER to understand a batsman using 12 labs API +llama index + GPT 4\n\nSolution:\nChoose 1 batsman (Glenn Maxwell of Australia)\n(Source 1) : Use 12 labs API to understand their playing style - \nUnderstand the video\nGenerate the text\n(Source 2 for additional augmentation) : Use cricinfo.com APIs to get ball by ball commentary of the batsman \nBuild a vector store of the dataset built using (2) and (3)\nUse GPT-4 to answer questions on this dataset (RAG application)\n\nGlobal Popularity and Demand:\nThe immense popularity of cricket has led to a high demand for video analysis tools.\nCoaches, players, and teams use these tools to analyze player performance, match strategies, and opponent weaknesses. The ability to break down every aspect of a game, from batting techniques to bowling actions, has become crucial for success.\nAs cricket leagues (such as the Indian Premier League) and international tournaments continue to grow, the demand for sophisticated video analysis software has skyrocketed.\nAdvanced Technology and Data Insights:\nCricket video analysis tools have evolved significantly over the years. High-speed cameras, ball-tracking systems, and AI algorithms allow for precise analysis of player movements, ball trajectories, and field placements.\nCoaches can identify patterns, assess player fitness, and make data-driven decisions. For example, analyzing a batsman’s scoring zones or a bowler’s release point can provide valuable insights.\n","slug":"cricket-video-analyzer-12-labs-rag"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"benin-multimodal-ai-hackathon","endAt":"2024-05-16T19:00:00.000Z"},"team":{"slug":"translationaugmentedgeneration","submission":{"title":"Soro Benin","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clw7znpnf000y3b77lou9rjj9/undefined_imageLink_5m9z4h04aq.jpg","description":"Challenge: Image generation from text in local languages.\nTracks: helps all 3 categories of culture preservation, sustainable agriculture and promoting tourism \nThe solution developed for the Soro Benin Hackathon aims to preserve local languages and cultural identity in Benin through AI-generated images and text. The application uses a prompting technique called Translation Augmented Generation to generate culturally nuanced images from prompts in Yoruba, Fon, and Dendi languages. It also answers questions related to agriculture, tourism, and current events in these languages. The solution leverages existing language models and APIs, saving costs compared to training new models from scratch. It addresses challenges in cultural preservation, sustainable agriculture, and tourism by providing AI visuals and information in local languages, aiding communication and showcasing Benin's unique heritage to drive sustainable practices.","slug":"soro-benin"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"lablab-next-create-your-startup","endAt":"2024-07-04T16:00:00.000Z"},"team":{"slug":"cricketgpt","submission":{"title":"CricketGPT- live commentary and develop strategy ","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(17).png","description":"Cricket boasts over one billion fans in South Asia.\n- **Innovative App Features**:\n - **Enhanced Viewing Experience**:\n - Live commentary in the voices of famous personalities.\n - Engaging and entertaining match insights from legendary commentators, celebrities, and cricket icons.\n - **Coaching Tool**:\n - Helps coaches develop effective strategies against opponents.\n - Analyzes historical data, player performance, and match conditions.\n - Provides actionable insights and tactical recommendations.\n- **Benefits**:\n - Enriches the fan experience by making every match more engaging.\n - Empowers coaches to make informed decisions.\n - Enhances the overall competitiveness and enjoyment of cricket.","slug":"cricketgpt-live-commentary-and-develop-strategy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"hello-gpt-4o-ai-challenge","endAt":"2024-06-02T19:00:00.000Z"},"team":{"slug":"universal-polyglot","submission":{"title":"Universal polyglot","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(9).png","description":"We are utilizing GPT-4o to develop a versatile search engine capable of understanding any language and answering any question. This advanced AI-driven platform leverages the power of natural language processing to provide accurate and relevant information across various topics. Our goal is to create a tool that transcends language barriers, making information accessible to everyone, regardless of their native language. Whether it's complex technical queries or everyday questions, our search engine aims to deliver precise answers quickly and efficiently, enhancing the user experience and knowledge accessibility.\n\n\n\n\n\n\n","slug":"universal-polyglot"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"hack-the-loop","endAt":"2024-07-02T16:00:00.000Z"},"team":null},{"event":{"slug":"codestral-ai-hackathon","endAt":"2024-07-17T16:00:00.000Z"},"team":{"slug":"codebasebuddy","submission":{"title":"CodeBaseBuddy ","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clyphhp2d00123b76a36wxp0i/clyphd9qx00113b76kmwxaagy_imageLink_79fzzz07hk.jpg","description":"Tool Name: CodeBaseBuddy with Codestral\nKey Features:\n - Privacy-preserving: Locally deployable, ensuring all operations remain on the user's machine.\n - Semantic Code Search: Utilizes advanced techniques for precise and relevant code search results.\n - Accelerated Onboarding: Quickly brings new contributors up to speed with any codebase.\n - Error Reduction: Provides specific guidance to minimize mistakes and prevent bugs.\n - Enhanced Engagement: Encourages contributions from those hesitant due to unfamiliarity with the codebase.\n - Continuous Learning: Helps both newcomers and experienced developers discover and learn about lesser-known parts of the codebase.\n\n- Technical Implementation:\n - **Vector Indexing**: Builds an annoy vector index by generating embeddings for every file in the repository.\n - **Query Processing**: Utilizes Annoy for efficient querying of the vector index.\n - **Guidance Generation**: Leverages locally deployed Codestral to provide step-by-step instructions based on user queries.\n- Original Contributions:\n - Local LLMs for Semantic Code Search: Uses Ollama's local large language models for running and managing models on a user's laptop.\n- Advantages::\n - Privacy: Everything is deployed locally, ensuring user data remains secure.\n - Speed: Accelerates the process of getting acquainted with a new codebase.\n - Accuracy: Reduces the likelihood of errors with precise guidance.\n - Encouragement: Motivates more community contributions by simplifying the onboarding process.\n - Learning: Continues to be a resource for experienced developers to explore and understand different parts of the codebase.\n\nSummary: CodeBaseBuddy with Codestral is a cutting-edge tool designed to streamline the onboarding process for new developers, provide precise code search capabilities, and enhance overall engagement and learning within development teams. By maintaining a local deployment, it ensures privacy while offering robust and innovative features.","slug":"codebasebuddy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"langflow-hackathon","endAt":"2024-07-15T19:00:00.000Z"},"team":{"slug":"rag4lowresourcelanguages","submission":{"title":"Make LLM accessible for low resource language","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(19).png","description":"The Langflow Hackathon, led by Raghavan Muthuregunathan, addresses the challenge of enhancing LLM performance in low-resource languages. While some LLMs like GPT4o excel, others like Stable Diffusion struggle. The proposed solution, Translation Augmented Generation, leverages high-quality English LLMs for non-English languages using Langflow, Streamlit, and OpenAI. Their innovative prompt engineering allows Stable Diffusion to understand languages other than English, demonstrated by generating images from Tamil prompts. This solution aims to democratize LLM accessibility, making it beneficial for low-resource languages. More details and examples can be found on their [Streamlit app](https://langflow-lablab.streamlit.app/) and [GitHub repository](https://github.com/raghavan1988/langflow_hackathon/blob/main/app.py).","slug":"make-llm-accessible-for-low-resource-language"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"llama-impact-hackathon","endAt":"2024-11-11T00:45:00.000Z"},"team":null},{"event":{"slug":"aria-multimodal-hackathon","endAt":"2024-11-04T17:00:00.000Z"},"team":null},{"event":{"slug":"gemma-2-ai-challenge","endAt":"2024-12-01T17:00:00.000Z"},"team":null}]}},"currentUser":{},"skills":[],"certifications":[{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/GNUTDQH3HP67.pdf","id":"cld34k4s7004xde0s20uuq112","event":{"slug":"semantic-search-hackathon","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images%2Fevents%2Fclb6icbc80000356h55tly7kr%2Fclb6icbc80000356h55tly7kr_wf23h3n_thumbnailLink.jpg","name":"Semantic Search AI Hackathon","description":"🗓️ This will be a 7-day virtual hackathon from 16-23 December \n💻 Build AI application with the latest large language model-powered technology by Cohere\n💡 Get the chance to work with the best AI professionals in the industry and learn from them\n✔️Entry level = 0. You’ve just started with AI? Are you an experienced Data Scientist? Or maybe you are a Designer or Business Developer? Join us! We need your domain knowledge!\n🐱‍💻 Register now and let's get started! It’s free!"}},{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/44LXZV76ML29.pdf","id":"clsu4nvw6000e6pfevn940vel","event":{"slug":"gemini-ai-hackathon","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images/events/clpwpj3og000f357f0vttkxzm/undefined_thumbnailLink_v8ecu0lxj.jpg","name":"Gemini AI Hackathon","description":"Step into the future of AI: Experience and innovate with the cutting-edge Gemini AI model.\nFirst-hand Experience: Dive into the latest AI technology with Gemini AI, right after its release.\nElevate your AI knowledge and coding prowess in a stimulating and supportive atmosphere.\nTeam up with like-minded innovators and tech enthusiasts. You can work solo, or in a team of up to 6 members.\nEnhance your LLM apps with TruLens: Use sophisticated evaluation and performance tracking tools for superior output quality.\nNote: Dates may change if the Gemini AI model release is postponed by Google Cloud."}},{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/2TOSQO69C1YL.pdf","id":"clqcc1jrz000b1ji67tacu2mi","event":{"slug":"yi-llms-24-hours-hackathon","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images/events/clozlvg420000356qdubx5xuz/undefined_thumbnailLink_uckxk0b25.jpg","name":"Yi 200k context window LLMs Hackathon","description":"Explore the power of Yi series models in the Yi-6B and Yi-34B variations, featuring a context window of 200K for innovative language-based applications."}},{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/5X0XT3X9HK90.pdf","id":"clpjs237f0013lzfhe8voon35","event":{"slug":"rag-llms-with-your-data","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images/events/clnxevogc00003574egffqeo9/undefined_thumbnailLink_b32gz0sv0.jpg","name":"RAG: LLMs with your data","description":"Discover RAG: Enhance LLMs with fresh, trusted data using Retrieval-Augmented Generation (RAG).\nVectara's Power: Explore Vectara, the all-in-one platform for innovative AI integration.\nGet Started: Dive into the week-long Hackathon Challenge and craft RAG-based applications.\nChoose Your Challenge: Opt for Customer Support, Legal Space, Financial Services, or Healthcare to showcase your skills.\nJoin us in taking AI innovation to new heights."}},{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/H9G6SM1ZS9D7.pdf","id":"clor5rkzh002pck0wttbvbfdl","event":{"slug":"legaltech-ai-hackathon","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images/events/clneypg6l0000356tdo9bvcff/undefined_thumbnailLink_b146sw1mxn.jpg","name":"Legal AI Challenge","description":"Craft an inventive application, tool, or interactive feature that utilizes Legal AI to address legal challenges and revolutionize the industry!"}},{"url":"https://storage.googleapis.com/lablab-static-eu/certificates/EL5YSVMQQ60G.pdf","id":"clor61yls002fc60wdmhog03n","event":{"slug":"ai-startup-hackathon-episode-4","thumbnailLink":"https://storage.googleapis.com/lablab-static-eu/images/events/clm33wbft0000356zzhvauh83/clm33wbft0000356zzhvauh83_thumbnailLink_wl2pem1736.jpg","name":"Build Your AI StartUp. 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the following two problems for a beginner researcher \n\n1. (Identifying prominent Authors) Embarking on a research journey in a new domain can be daunting. One of the pivotal first steps involves identifying and understanding the foundational works and prominent authors in that particular field. This use case addresses the pressing need of novice researchers to quickly and efficiently find the leading authors and seminal papers in their area of interest.\n\n2. (Learn the basics) Technical jargons are an intrinsic part of any scientific discipline. They facilitate precise communication among experts but can be a major hurdle for beginners. This use case caters to the immediate need of newcomers to decode these specialized terms, understand their meanings, and relate them to familiar concepts through analogies.\n\n","slug":"arxiv-deep-dive"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"falcon-llms-24-hours-hackathon","endAt":"2023-09-24T16:00:00.000Z"},"team":{"slug":"falcon-for-researchers","submission":{"title":"Falcon BBR - Brainstorming buddy for Researchers","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clmxluxbr001f286ij8fxuzgv/undefined_imageLink_739u11jr1.jpg","description":"Researchers often read a long paper but are often stuck in INNOVATORS block. They need INSPIRATION and Falcon can help provide a CRAZY Idea.\nSometimes LLM hallucination can help in providing the inspiration.\n\nThis tool has index 16415 arxiv articles from August 2023\nUser has to input arxiv article ID\n- Tool would summarize the paper in few bullet points\n- Propose a CREATIVE next step for future research\n- Choose an ORTHOGONAL FIELD and proposes how the findings of the paper can be applied.\n\nIn summary, this should help any researcher get INSPIRATION on to WHAT TO DO NEXT as innovation happens when DOTS are connected across orthogonal fields\n\nDemo: https://huggingface.co/spaces/Raghavan1988/falcon-lablabai-hackathon-brainstorming-buddy-for-researchers","slug":"falcon-bbr-brainstorming-buddy-for-researchers"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"open-interpreter-hackathon","endAt":"2023-10-14T16:00:00.000Z"},"team":{"slug":"githubbuddy","submission":{"title":"CodeBaseBuddy","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clnoqglwo001w286in3edqsue/undefined_imageLink_d32pfg1vmk.jpg","description":"\nNavigating through a new GitHub repository can be daunting, especially when one is unfamiliar with its structure and logic. The \"CodeBase Buddy\" system leverages the power of GPT's retrieval augmented generation capabilities to guide users through their first tasks in a new codebase. By analyzing the repository's structure, commit history, and documentation, it provides specific pointers on which files to modify and how to go about those changes. Users can input a task description, and the system would subsequently offer step-by-step guidance, akin to having an experienced developer by their side.","slug":"codebasebuddy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"legaltech-ai-hackathon","endAt":"2023-10-25T16:00:00.000Z"},"team":{"slug":"askuscismanualgpt","submission":{"title":"Ask USCIS chat","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(5).png","description":"Immigrating to a new country (eg. US) is a complex legal process..\nLegal teams need to be able to understand how USCIS adjudicates every petition across various various visa categories.\nVery specific question personalized to each case does not have answer in Google.\nBased on Harvey startup, legal tech is the perfect text-in =\u003e text out business.\nUSCIS is the governmental agency that administers countries naturalization and immigration.\nWe have developed a RAG system for the 2000 page USCIS field manual.\nAnyone can ask question to the RAG (Retrieval Augmented System) and get a detailed answer.\n","slug":"ask-uscis-chat"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"autogen-24-hours-hackathon","endAt":"2023-11-03T17:00:00.000Z"},"team":{"slug":"debugyourcode","submission":{"title":"AutoGen Debugger -An agent to debug python program","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(20).png","description":"Problem statement: \nWhen you write a very long program and if it does not work, we spend hours debugging the program with \nbreakpoints and\nlog statements and\nprint statements.\nCopy pasting the entire code to GPT may not solve the problem due to token limit.\n\nSolution: We introduce an autogen based agent that uses tools ReadFileTool and ProfilerTool\n\n1. Executes the program\n2. Track line by line execution\n3. Identify the part that caused the bug\n4. Recommend user a fix\n\nAdvantages:\nReduces several hours of debugging thereby improving developer productivity\ndisclaimer: LLMs are known to hallucinate\n","slug":"autogen-debugger-an-agent-to-debug-python-program"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"rag-llms-with-your-data","endAt":"2023-11-09T20:00:00.000Z"},"team":{"slug":"team-tonic","submission":{"title":"MultiMed","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/cloriaztc0000356takwzn5es/undefined_imageLink_pg60io0kqy.jpg","description":"MultiMed is an innovative platform poised to transform the landscape of medical education and public health communication. At its core, MultiMed leverages cutting-edge technology to address a critical gap in healthcare: the delivery of complex medical knowledge and public health information in a way that is accessible, accurate, and culturally sensitive across language barriers.\n\nOur platform is built upon a sophisticated hallucination detection system, which ensures the integrity and reliability of the information provided. This system is crucial in the medical field, where the accuracy of information can be a matter of life and death. \n\nThe conversational chat and retrieval system is another cornerstone of the MultiMed experience. It is designed to mimic the nuanced understanding of a human medical professional, providing users with an interactive, engaging, and personalized experience. Whether it's a medical student seeking to clarify a complex concept or a member of the public looking to understand health guidelines, our system is equipped to handle inquiries with precision and empathy.\n\nMultiMed's multilingual support is not just a feature; it's a commitment to inclusivity. We recognize that language is one of the most significant barriers to the dissemination of medical knowledge and healthcare information. Our service breaks down these barriers by offering seamless support in multiple languages, ensuring that both medical professionals and the public have access to vital information in their native tongues.\n\nBy providing a single, reliable source for medical education and public health messaging, we empower users to bypass the confusion of disparate information sources. This centralization is not only about convenience; it's about ensuring consistency and reliability in the information that shapes public health outcomes.","slug":"multimed"},"participants":[{"user":{"profile":{"userId":"cll46or7401rmlc0he5s74qpi","picture":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fcll46or7401rmlc0he5s74qpi_ep03p34_picture.jpg","image":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fusers%2Fcll46or7401rmlc0he5s74qpi_gx03p8l_cover.jpg","userName":"Tonic","firstName":"Joseph","lastName":"Pollack","about":"👋🏻Hi there folks, i'm here to produce the backoffice and productive environment of the future where multiple agents interact to produce an office's worth of knowledge.\n\n\nSpecifically i'm focussed on simple interfaces to deliver highly specific and precise business intelligence , creating decision support systems based on these \u0026 then AI-augmented executions of investment theses.\n\n\n- join me on huggingface :\n https://www.huggingface.co/multitransformer\n\n- join my build-in-public discord : \n https://discord.gg/VqTxc76K3u\n\n- contribute here : \n https://github.com/tonic-ai","discordId":"994979735488692324","githubUrl":"https://github.com/Josephrp","linkedinUrl":"","twitterUrl":"https://twitter.com/josephpollack","public":true}}},{"user":{"profile":{"userId":"clczvh2uh000l6h0s9o7p35hd","picture":"https://storage.googleapis.com/lablab-static-eu/images%2Fusers%2Fclczvh2uh000l6h0s9o7p35hd_vz03gmr_picture.jpg","image":null,"userName":"Muhammad-Arham","firstName":"Muhammad","lastName":"Arham","about":" Software engineer. Problem Solver. Finalist of ChatGPT API hackathon. Code enthusiast.","discordId":"1064800825047777280","githubUrl":"","linkedinUrl":"https://www.linkedin.com/in/muhammad-arham-95b8331a4/","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clmav81xv002e9e19q2mgzukd","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/clmav81xv002e9e19q2mgzukd_picture_y11rog17rb.jpg","image":null,"userName":"Kashif515","firstName":"Muhammad Kashif Javed","lastName":"Akhter","about":"Physics and Machine Learning, ","discordId":"1149757207081123842","githubUrl":"https://github.com/Muhammad-Kashif-javed","linkedinUrl":"https://www.linkedin.com/in/muhammad-kashif-javed-akhter-513314263","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}},{"user":{"profile":{"userId":"cljvjpqls0l8gl70h20uvmokn","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/undefined_picture_6z3gw40mwj.jpg","image":null,"userName":"RooSalama","firstName":"Rawan","lastName":"Salama","about":"","discordId":"870981187982737441","githubUrl":"","linkedinUrl":"https://www.linkedin.com/in/rawankhsalama","twitterUrl":"","public":true}}},{"user":{"profile":{"userId":"clongnyc20059b60w4oum5uk6","picture":"https://storage.googleapis.com/lablab-static-eu/images/users/undefined_picture_ti5vza0m25.jpg","image":null,"userName":"lain247","firstName":"hafedh","lastName":"hichri","about":"working hard to provide for my dog ","discordId":"594064588320800788","githubUrl":"https://github.com/not-lain","linkedinUrl":"https://www.linkedin.com/in/hafedh-hichri/","twitterUrl":"https://twitter.com/not_so_lain","public":true}}}]}},{"event":{"slug":"yi-llms-24-hours-hackathon","endAt":"2023-12-01T17:00:00.000Z"},"team":{"slug":"arxiv-researcher-and-yi34b","submission":{"title":" Unleashing Creativity with Yi 34B and Langchain","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(20).png","description":"100s of new arxiv papers are uploaded everyday\nHow do I get new ideas to apply them for my field ?\nHow do i get a quick gist of the paper and related papers?\n\nLoom video of Demo: https://www.loom.com/share/a9d151a59a7c4fe68a8cc94b6a118d9d?sid=90a5d924-d995-4716-8a3b-c4da861e2e1d\n\nThis helps improve creativity of researchers by applying the ideas of a specific ARXIV paper to a completely new field.\nThis helps create a gist of the large arxiv paper with just the URL\nThere by improving their productivity\nIt also helps create a summary of all the related papers by doing a vector search based on the title","slug":"unleashing-creativity-with-yi-34b-and-langchain"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"gemini-ai-hackathon","endAt":"2023-12-22T17:00:00.000Z"},"team":{"slug":"polyglot-gemini","submission":{"title":"PolyGlot Gemini lens for PDFs","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clqnt1l5200003d66fqp0peut/undefined_imageLink_7r1hey0syr.jpg","description":"Problem Statement:\n1) Over 70% of PDFs contain critical data in images like charts and tables, especially research articles\n2) Gemini is released for English only today. \nCan we build a solution for \n1) Answering natural language questions based on images in PDFs ?\n2) Making Gemini accessible for non english speakers? \n\nBy leveraging Spire, Open AI GPT 3.5, Gemini Pro Vision and Trulens, I have built an application that solves both problems\n\n- Spire for Image Extraction\n- Open AI for Translation to English (optional)\n- Gemini-Pro-Vision for the answer\n- TruLens for Monitoring \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","slug":"polyglot-gemini-lens-for-pdfs"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"advanced-rag-hackathon","endAt":"2024-04-19T16:00:00.000Z"},"team":{"slug":"llama-buddy","submission":{"title":"llama buddy","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(26).png","description":"Chat with your PDF is the standard RAG 101 example.\nIn this hack, we demonstrate an example of Chat with your code base. \nProblem:\n\nImagine you are trying to contribute to a new code base (a github repository) for a beginner task.\nKnowing which file to change, where to make the change can be time consuming.\nThis is NOT about CODE COMPLETION. \n\nThis a semantic code search application deployable locally and works from a terminal.\nBusiness impact:\nDevelopers would have enhanced productivity and be willing to buy this RAG application\nCode completion tools do not tell where to make the changes on an existing code base.\n","slug":"llama-buddy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"twelve-labs-weekend-hackathon","endAt":"2024-05-05T16:00:00.000Z"},"team":{"slug":"cricket","submission":{"title":"Cricket Video Analyzer - 12 labs RAG","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(21).png","description":"Cricket VIDEO ANALYZER to understand a batsman using 12 labs API +llama index + GPT 4\n\nSolution:\nChoose 1 batsman (Glenn Maxwell of Australia)\n(Source 1) : Use 12 labs API to understand their playing style - \nUnderstand the video\nGenerate the text\n(Source 2 for additional augmentation) : Use cricinfo.com APIs to get ball by ball commentary of the batsman \nBuild a vector store of the dataset built using (2) and (3)\nUse GPT-4 to answer questions on this dataset (RAG application)\n\nGlobal Popularity and Demand:\nThe immense popularity of cricket has led to a high demand for video analysis tools.\nCoaches, players, and teams use these tools to analyze player performance, match strategies, and opponent weaknesses. The ability to break down every aspect of a game, from batting techniques to bowling actions, has become crucial for success.\nAs cricket leagues (such as the Indian Premier League) and international tournaments continue to grow, the demand for sophisticated video analysis software has skyrocketed.\nAdvanced Technology and Data Insights:\nCricket video analysis tools have evolved significantly over the years. High-speed cameras, ball-tracking systems, and AI algorithms allow for precise analysis of player movements, ball trajectories, and field placements.\nCoaches can identify patterns, assess player fitness, and make data-driven decisions. For example, analyzing a batsman’s scoring zones or a bowler’s release point can provide valuable insights.\n","slug":"cricket-video-analyzer-12-labs-rag"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"benin-multimodal-ai-hackathon","endAt":"2024-05-16T19:00:00.000Z"},"team":{"slug":"translationaugmentedgeneration","submission":{"title":"Soro Benin","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clw7znpnf000y3b77lou9rjj9/undefined_imageLink_5m9z4h04aq.jpg","description":"Challenge: Image generation from text in local languages.\nTracks: helps all 3 categories of culture preservation, sustainable agriculture and promoting tourism \nThe solution developed for the Soro Benin Hackathon aims to preserve local languages and cultural identity in Benin through AI-generated images and text. The application uses a prompting technique called Translation Augmented Generation to generate culturally nuanced images from prompts in Yoruba, Fon, and Dendi languages. It also answers questions related to agriculture, tourism, and current events in these languages. The solution leverages existing language models and APIs, saving costs compared to training new models from scratch. It addresses challenges in cultural preservation, sustainable agriculture, and tourism by providing AI visuals and information in local languages, aiding communication and showcasing Benin's unique heritage to drive sustainable practices.","slug":"soro-benin"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"lablab-next-create-your-startup","endAt":"2024-07-04T16:00:00.000Z"},"team":{"slug":"cricketgpt","submission":{"title":"CricketGPT- live commentary and develop strategy ","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(17).png","description":"Cricket boasts over one billion fans in South Asia.\n- **Innovative App Features**:\n - **Enhanced Viewing Experience**:\n - Live commentary in the voices of famous personalities.\n - Engaging and entertaining match insights from legendary commentators, celebrities, and cricket icons.\n - **Coaching Tool**:\n - Helps coaches develop effective strategies against opponents.\n - Analyzes historical data, player performance, and match conditions.\n - Provides actionable insights and tactical recommendations.\n- **Benefits**:\n - Enriches the fan experience by making every match more engaging.\n - Empowers coaches to make informed decisions.\n - Enhances the overall competitiveness and enjoyment of cricket.","slug":"cricketgpt-live-commentary-and-develop-strategy"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"hello-gpt-4o-ai-challenge","endAt":"2024-06-02T19:00:00.000Z"},"team":{"slug":"universal-polyglot","submission":{"title":"Universal polyglot","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(9).png","description":"We are utilizing GPT-4o to develop a versatile search engine capable of understanding any language and answering any question. This advanced AI-driven platform leverages the power of natural language processing to provide accurate and relevant information across various topics. Our goal is to create a tool that transcends language barriers, making information accessible to everyone, regardless of their native language. Whether it's complex technical queries or everyday questions, our search engine aims to deliver precise answers quickly and efficiently, enhancing the user experience and knowledge accessibility.\n\n\n\n\n\n\n","slug":"universal-polyglot"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}},{"event":{"slug":"codestral-ai-hackathon","endAt":"2024-07-17T16:00:00.000Z"},"team":{"slug":"codebasebuddy","submission":{"title":"CodeBaseBuddy ","imageLink":"https://storage.googleapis.com/lablab-static-eu/images/submissions/clyphhp2d00123b76a36wxp0i/clyphd9qx00113b76kmwxaagy_imageLink_79fzzz07hk.jpg","description":"Tool Name: CodeBaseBuddy with Codestral\nKey Features:\n - Privacy-preserving: Locally deployable, ensuring all operations remain on the user's machine.\n - Semantic Code Search: Utilizes advanced techniques for precise and relevant code search results.\n - Accelerated Onboarding: Quickly brings new contributors up to speed with any codebase.\n - Error Reduction: Provides specific guidance to minimize mistakes and prevent bugs.\n - Enhanced Engagement: Encourages contributions from those hesitant due to unfamiliarity with the codebase.\n - Continuous Learning: Helps both newcomers and experienced developers discover and learn about lesser-known parts of the codebase.\n\n- Technical Implementation:\n - **Vector Indexing**: Builds an annoy vector index by generating embeddings for every file in the repository.\n - **Query Processing**: Utilizes Annoy for efficient querying of the vector index.\n - **Guidance Generation**: Leverages locally deployed Codestral to provide step-by-step instructions based on user queries.\n- Original Contributions:\n - Local LLMs for Semantic Code Search: Uses Ollama's local large language models for running and managing models on a user's laptop.\n- Advantages::\n - Privacy: Everything is deployed locally, ensuring user data remains secure.\n - Speed: Accelerates the process of getting acquainted with a new codebase.\n - Accuracy: Reduces the likelihood of errors with precise guidance.\n - Encouragement: Motivates more community contributions by simplifying the onboarding process.\n - Learning: Continues to be a resource for experienced developers to explore and understand different parts of the codebase.\n\nSummary: CodeBaseBuddy with Codestral is a cutting-edge tool designed to streamline the onboarding process for new developers, provide precise code search capabilities, and enhance overall engagement and learning within development teams. 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More details and examples can be found on their [Streamlit app](https://langflow-lablab.streamlit.app/) and [GitHub repository](https://github.com/raghavan1988/langflow_hackathon/blob/main/app.py).","slug":"make-llm-accessible-for-low-resource-language"},"participants":[{"user":{"profile":{"userId":"clbrijcds002y6u0slaen7k8u","picture":"https://avatars.githubusercontent.com/u/493090?v=4","image":null,"userName":"raghavan848","firstName":"Raghavan","lastName":"Muthuregunathan","about":"Live and breath AI\n\nhttps://www.linkedin.com/in/raghavanmit/","discordId":"535307742890688512","githubUrl":"https://github.com/Raghavan1988/","linkedinUrl":"https://www.linkedin.com/in/raghavanmit/","twitterUrl":"https://twitter.com/Raghavan_M","public":true}}}]}}],"upcomingHackathons":[],"attendedHackathons":[],"currRank":{"id":"cle4204w4000asb0hy2kdnh2g","name":"Expert","slug":"expert","pointsToReach":1000,"discordRoleId":"1080901474831319090","description":null,"color":null,"currentAmountOfPoints":1400},"nextRank":{"id":"cle4204w40008sb0hfbp5yzv9","name":"Master","slug":"master","pointsToReach":2500,"discordRoleId":"1080901966126907424","description":null,"color":null},"_sentryTraceData":"9d151eda09c94bb38ec2ca1c522aab19-a8971d4960ff4743-0","_sentryBaggage":"sentry-environment=production,sentry-release=_MYPT3nJ_rjmyU55OyoQN,sentry-public_key=5edac4341fc14ab6b7ddf3ae9ba5a1fa,sentry-trace_id=9d151eda09c94bb38ec2ca1c522aab19,sentry-sample_rate=0.07,sentry-transaction=%2Fu%2F%5Buser%5D,sentry-sampled=false"},"__N_SSP":true},"page":"/u/[user]","query":{"user":"@raghavan848"},"buildId":"_MYPT3nJ_rjmyU55OyoQN","runtimeConfig":{"version":"0.14.458"},"isFallback":false,"isExperimentalCompile":false,"gssp":true,"scriptLoader":[]}</script></body></html>