{"data":{"featured":{"edges":[{"node":{"frontmatter":{"title":"Parkify","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/88da6ee4bc185766fbd8759ec359c25c/bc3b9/course-card.png","srcSet":"/static/88da6ee4bc185766fbd8759ec359c25c/9a130/course-card.png 175w,\n/static/88da6ee4bc185766fbd8759ec359c25c/a3fa1/course-card.png 350w,\n/static/88da6ee4bc185766fbd8759ec359c25c/bc3b9/course-card.png 700w,\n/static/88da6ee4bc185766fbd8759ec359c25c/87926/course-card.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/88da6ee4bc185766fbd8759ec359c25c/dae43/course-card.avif 175w,\n/static/88da6ee4bc185766fbd8759ec359c25c/d7667/course-card.avif 350w,\n/static/88da6ee4bc185766fbd8759ec359c25c/7ec1a/course-card.avif 700w,\n/static/88da6ee4bc185766fbd8759ec359c25c/71a30/course-card.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/88da6ee4bc185766fbd8759ec359c25c/5d873/course-card.webp 175w,\n/static/88da6ee4bc185766fbd8759ec359c25c/26a00/course-card.webp 350w,\n/static/88da6ee4bc185766fbd8759ec359c25c/f23f0/course-card.webp 700w,\n/static/88da6ee4bc185766fbd8759ec359c25c/2c2d0/course-card.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["opencv-python","tensorflow","pytorch","scikit image"],"github":"https://github.com/Parkify-Official","external":"https://www.youtube.com/watch?v=RXgsfuxWJ3E"},"html":"<p>This project is an application that helps users to <strong>park their vehicles</strong> while giving a platform for parking-lot owners to showcase available parking spaces. The entire procedure is seamless, transparent, and automated. We used <strong>quantization to make the process run on a hardware with lower cost &#x26; time and higher accuracy</strong>.</p>"}},{"node":{"frontmatter":{"title":"Nirnayaak","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/jpeg;base64,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"},"images":{"fallback":{"src":"/static/7b05aed08956a2560e6cb8106184a92c/6f8c6/nirnayaak.jpg","srcSet":"/static/7b05aed08956a2560e6cb8106184a92c/8f9ea/nirnayaak.jpg 175w,\n/static/7b05aed08956a2560e6cb8106184a92c/59181/nirnayaak.jpg 350w,\n/static/7b05aed08956a2560e6cb8106184a92c/6f8c6/nirnayaak.jpg 700w,\n/static/7b05aed08956a2560e6cb8106184a92c/39f1b/nirnayaak.jpg 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/7b05aed08956a2560e6cb8106184a92c/d6c11/nirnayaak.avif 175w,\n/static/7b05aed08956a2560e6cb8106184a92c/eaf78/nirnayaak.avif 350w,\n/static/7b05aed08956a2560e6cb8106184a92c/bad7c/nirnayaak.avif 700w,\n/static/7b05aed08956a2560e6cb8106184a92c/6e7ce/nirnayaak.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/7b05aed08956a2560e6cb8106184a92c/307e4/nirnayaak.webp 175w,\n/static/7b05aed08956a2560e6cb8106184a92c/30ec3/nirnayaak.webp 350w,\n/static/7b05aed08956a2560e6cb8106184a92c/86ee4/nirnayaak.webp 700w,\n/static/7b05aed08956a2560e6cb8106184a92c/120b5/nirnayaak.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":397}}},"tech":["Cohere","Flask","Pymongo","Pytesseract","gpt-3"],"github":null,"external":"https://devfolio.co/projects/nirnayaak-ec65"},"html":"<p>A website which is used to <strong>generate legal solutions</strong> for problems, and give <strong>similar documents</strong> for a given set of search keywords. Built this project during <strong>Diversion 2K23</strong> (MLH Hackathon).</p>"}},{"node":{"frontmatter":{"title":"ChumlyAI","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/a69dc603b3395c363a6cc4708807b706/13893/demo.png","srcSet":"/static/a69dc603b3395c363a6cc4708807b706/fc848/demo.png 175w,\n/static/a69dc603b3395c363a6cc4708807b706/5678f/demo.png 350w,\n/static/a69dc603b3395c363a6cc4708807b706/13893/demo.png 700w,\n/static/a69dc603b3395c363a6cc4708807b706/b0f40/demo.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/a69dc603b3395c363a6cc4708807b706/e2b90/demo.avif 175w,\n/static/a69dc603b3395c363a6cc4708807b706/881d8/demo.avif 350w,\n/static/a69dc603b3395c363a6cc4708807b706/ea1fc/demo.avif 700w,\n/static/a69dc603b3395c363a6cc4708807b706/3e908/demo.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/a69dc603b3395c363a6cc4708807b706/eda49/demo.webp 175w,\n/static/a69dc603b3395c363a6cc4708807b706/c4210/demo.webp 350w,\n/static/a69dc603b3395c363a6cc4708807b706/cd33f/demo.webp 700w,\n/static/a69dc603b3395c363a6cc4708807b706/5f209/demo.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":316}}},"tech":["YAKE","Python","Flask","Pymongo","Logging"],"github":"https://github.com/AryaChakraborty/chumly/","external":"https://www.youtube.com/watch?v=kLO-SlW9QKw&t=26s"},"html":"<p>A <strong>chatbot</strong>, for Google Developers Stuents Club, Kalyani Government Engineering College. I extracted important keywords, with <strong>YAKE</strong> and gave accurate replies, with the help of <strong>pymongo</strong>. Deployed link is given in the 'about' section of the repository.</p>"}}]}}}