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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>My Projects</title> | |
| <style> | |
| /* --- CSS STYLES --- */ | |
| body { | |
| margin: 0; | |
| background-color: #0d0d0d; | |
| font-family: 'Segoe UI', sans-serif; | |
| color: white; | |
| overflow-x: hidden; | |
| } | |
| /* The 3D Canvas fixed in the background */ | |
| #bg-canvas { | |
| position: fixed; | |
| top: 0; | |
| left: 0; | |
| width: 100%; | |
| height: 100%; | |
| z-index: -1; | |
| background: linear-gradient(to bottom, #0d0d0d, #1a1a1a); | |
| } | |
| nav { | |
| padding: 2rem 4rem; | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| } | |
| .logo { font-weight: bold; font-size: 1.5rem; letter-spacing: 2px; } | |
| .back-link { color: #aaa; text-decoration: none; transition: 0.3s; } | |
| .back-link:hover { color: white; } | |
| .container { | |
| max-width: 1200px; | |
| margin: 0 auto; | |
| padding: 2rem; | |
| } | |
| h1 { | |
| font-size: 3rem; | |
| margin-bottom: 10px; | |
| text-align: center; | |
| background: linear-gradient(90deg, #fff, #888); | |
| -webkit-background-clip: text; | |
| -webkit-text-fill-color: transparent; | |
| } | |
| p.intro { | |
| text-align: center; | |
| color: #ccc; | |
| margin-bottom: 4rem; | |
| font-size: 1.1rem; | |
| } | |
| /* PROJECT GRID */ | |
| .project-grid { | |
| display: grid; | |
| grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); | |
| gap: 2rem; | |
| padding-bottom: 4rem; | |
| } | |
| /* GLASSMORPHISM CARD */ | |
| .card { | |
| background: rgba(255, 255, 255, 0.05); /* Very transparent white */ | |
| backdrop-filter: blur(10px); /* The "Frosted" blur effect */ | |
| border: 1px solid rgba(255, 255, 255, 0.1); | |
| border-radius: 15px; | |
| overflow: hidden; | |
| transition: transform 0.3s ease, box-shadow 0.3s ease; | |
| } | |
| .card:hover { | |
| transform: translateY(-10px); | |
| box-shadow: 0 10px 30px rgba(0, 242, 96, 0.2); /* Green glow on hover */ | |
| border-color: rgba(0, 242, 96, 0.5); | |
| } | |
| .card-image { | |
| width: 100%; | |
| height: 200px; | |
| object-fit: cover; | |
| /* Placeholder background color if image fails to load */ | |
| background-color: #222; | |
| } | |
| .card-content { | |
| padding: 1.5rem; | |
| } | |
| .card-title { | |
| font-size: 1.4rem; | |
| margin: 0 0 10px 0; | |
| color: #00f260; | |
| } | |
| .card-desc { | |
| font-size: 0.95rem; | |
| color: #ccc; | |
| line-height: 1.5; | |
| margin-bottom: 20px; | |
| } | |
| .tags { | |
| display: flex; | |
| gap: 10px; | |
| margin-bottom: 20px; | |
| flex-wrap: wrap; | |
| } | |
| .tag { | |
| font-size: 0.75rem; | |
| background: rgba(255, 255, 255, 0.1); | |
| padding: 4px 10px; | |
| border-radius: 20px; | |
| color: #fff; | |
| } | |
| .card-links { | |
| display: flex; | |
| gap: 15px; | |
| } | |
| .btn-small { | |
| text-decoration: none; | |
| font-size: 0.9rem; | |
| font-weight: bold; | |
| color: white; | |
| border-bottom: 2px solid transparent; | |
| transition: 0.3s; | |
| } | |
| .btn-small:hover { | |
| border-bottom: 2px solid #00f260; | |
| color: #00f260; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <canvas id="bg-canvas"></canvas> | |
| <nav> | |
| <div class="logo">PORTFOLIO</div> | |
| <a href="new 1.html" class="back-link">← Back to Home</a> | |
| </nav> | |
| <div class="container"> | |
| <h1>Selected Works</h1> | |
| <p class="intro">A collection of experiments, full-stack applications, and designs.</p> | |
| <div class="project-grid"> | |
| <div class="card"> | |
| <img src="data:image/jpeg;base64,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" alt="Project 1" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">AI Chatbot Assistant</h3> | |
| <p class="card-desc"> | |
| A responsive chatbot built using Python and Natural Language Processing. Handles user queries in real-time with high accuracy. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">Python</span> | |
| <span class="tag">OpenAI API</span> | |
| <span class="tag">React</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://huggingface.co/spaces/simran40/BBSBEC-INTELLIDESK/tree/main" class="btn-small">View Code</a> | |
| <a href="https://huggingface.co/spaces/simran40/BBSBEC-INTELLIDESK" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <img 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" alt="Project 2" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">Computer Vision System</h3> | |
| <p class="card-desc"> | |
| Object detection system capable of identifying multiple classes of objects in video streams using OpenCV and YOLO. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">OpenCV</span> | |
| <span class="tag">Python</span> | |
| <span class="tag">Machine Learning</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://huggingface.co/spaces/simran40/face_detection/tree/main" class="btn-small">View Code</a> | |
| <a href="https://huggingface.co/spaces/simran40/face_detection" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <img src="data:image/jpeg;base64,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" alt="Project 3" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">3D E-Commerce Site</h3> | |
| <p class="card-desc"> | |
| An interactive shopping experience allowing users to rotate products in 3D before purchasing. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">Three.js</span> | |
| <span class="tag">WebGL</span> | |
| <span class="tag">JavaScript</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://github.com/simran937u/LUXURY-PRODUCT-WEBZSITE/blob/main/index.html" class="btn-small">View Code</a> | |
| <a href="https://simran937u.github.io/LUXURY-PRODUCT-WEBZSITE/" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <img 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QX135Ol9lVX9k02qTdoFaz0jeEU/vbojaAPb3o/SdKh0y22oQXb5jjk/f+FMLK2gsbYQ20AjjReFWuZRtCcYBUUd/wDFeBHjr8pdZBK0xBCOFX6UuuknMblZMgDkAUzbIU5HOM4qGa1c25wDnHPvVIy1M2SDYGId+nTTl23Kyjr/AF61DrkYQqwOAIBnHFTrIi6VcxswyZEOPXn/AENTzTRNZtLcIFj2BMkZPTyp9mpWKoRcNV5r/os7L2gkeWRnZQF2j/mI6/hUA+G1a3msL1wO5cqjucA84xmhzr62MoW2jCwqrf2hz4sdePfFRafPFP2dumEcKzzStt5Gd7MMfrTtSvZk046qKFkvY6ytpO81HUk7vkhY8sWH6USLF9M7QWUOZPgpZWQHbhRgAqfuSfwpRrazW2pfCtHuLqHjw5bAwAfzBqyanrtpHolrqfw3fN+7wJG4B6dKeW3O3Yqp9rwLdejt7G91O3kMyRT4b918uWXb+vNQ9nb28WRbU3HerBCxUOobODz98Vw2rHtZbXVvIkbXKDvbXC4JA6r/AOHn6iouzunC4V7qQ9ykWQ8jc8kY8I82waK4qkdJO/xINUvtX1LTntbK2mkjiuWYiCLd3YDHA4HT0qt3Fhfz3bvN3ySSjbtdCrYzwMetW26vmUm10rbbW6AEIkmGPHDEjqf06VWJ+1uuWckiRahdsFOOZ2b8jRWyXENCnyzvtFJHpWnxaLbuO9Vu8vGU9ZPJfooz980g0+/lsnLCQlWHK7vOgbqdp5Wkl8TMSSxPOag37eQBXeDQoFrSCzjtpCl7FKpmRWcxp4mHAPTxHzUDgDbSXUpYBqKRW5AlRth79FwgIySeOuepxQM99ctDHaMYJ9seUZGOIc8ljjALfXOOKDkncsI0fOM7n2jLH1x5CssXRt1d2x1ixUCBLlWbPilEabCM+fHTAOPei51toUjNtKJEJJCMiYzg+WPp+lJ7Uy7e8lfEY6DHzn0H8aJWeaSVWZhyegA44PFaYIzZGM7UzzugkkLY6eEflT63j7qRI5GKOCCymFRx60LpEkdnbSPcos0smFVSQdp+mRnyprY3aPIzd0VYngGNSoAHmOOfeqowTY80+NH+FJnUuzHI2gbeKj7VarfXGr2vZ3s9c91LjfPMowVGOn8T9qGfU4bFTqE44hBKx4GC2OAKJ/2f2hjE+r6iC97fsXbj5UzwP4/h6VOSOxuo7Mnh0btxaqJbbX7e5H+GaIY/HFdNd9vrO4jaTTrC7wDgQHGRxnzq6xTs6bF4X0xU6gm5gzyNr+f0rJKbXlG3HUlwpY7Z63aLt1HsxqaH0giEn6VGG7V9t3MKibRtFzhncFJpR6ev9edelrnzx+Fd4AqDyr0jdHD/ADwq+idlLLs6LaLTztkaU75mQF38LdT6e1WHuZQ3/EEe2wUn7Ua6mjmB2tp5irFhsXC/KRy33qj3/bDWNScQ28i2iSMFVIfmOeOWPP4Ypo4smXok8+LC9fZ6kEfH9ofrtFDXsMpi5nz4l/uD1FFW0Zit40LFtqgZPU1xff2I/wCdf/6FQ9mhpONnJhk/7/8A/WK13T4GZv8A8BU7/WoJW44NMrYk6Xk1JujTAk55JO0VFDcK8KM4DEqDUc7t6+XWg4SV055gC7Rwg4B68VVQ50yyyvakgq4uGUeBlX/7RQouW75XkcEdCMdaqdprF1quqRpxHCoLbF9MeZ+9NLmQpGxByRWpYEl0wS+S3IcSxxRs8kyjugemOSRn+BqG9mtp9OgWFR3TXaRkH34NJNUv5phtZvLnHpQC3s8VpFFGykR3KyqpHUjBrvpdJ+zlmj1egbXkhh1KdEVdok+X86BtrgC6hVQgBnRjx55rrVzLc308pUeNz8v4UsMM3zIxUjoR61pj4pmd1dot2oXcUHaNXmfYWtdowP8AMTVQ1TVTcWQtw8Rg7xjjHOBgg/nUeoXhnuzO7ySKAF8bHPAA/XJ+9ASd00sQ9W28E8Z86KjQUasL2XS71Zo8KyEOp9f9KM1bXp9UhMsLx28cXyQRcbc9cDz96h1vR3tb6SCEtMkag7ip6EUnZo0CseGBB2nIB+1BpPpZdVEtnPLbObtCpRNu/LevSo9durO7mWe2jEbMPGmOM0PN3cid5E+z/wCnuJwfSg9x5Dfp0rmUjHtkTOnkAK53g9ME+9beGVeSrYPQ7etRPFKvzAj6jFTZoVfsGFyoPdQRQlRwzbPn/wBKf9mGgs9Vt7jUdMSa1xnZ3fz+mPU0x0rS9K1CA6isUaW8BZO5kjVHmz0YhSQwHpgdeaD1y5kub9YbMXiQR+FP93RWJHBPB5yQfLyFQhw0Tez1RJqF/LLcPNb2UEFuzHukMfyDr+P866iaSQwm4W3hXlk3IQOAea1Dp01xLCbu4m2O+1Gk2bWbjw5DHnGK1quppZOLW5m3C3crmGJTnjHXdzirqSSMkk71iNbJ441+JmijMjDCKBgZ9TTI6kLSPM7xR85Yt0+gqrRtrN9F8Vawi3twcCWbAP1x5VYLPsdBBELvVbw3U7fNFIQCvnkrmm3M8sSj/wCjI1vD2p1q3to1/wDhsB3SMFI7xh/pXodnbxAqEDhQBgCRuB+NK7KyitUhEKbE5O0bRgY+tO7MxZGGOPPOK5kZz2apcG9laxnktIOPOVv50VBFDLcW5jmkcYflZmI8veqt2n1R44odJ01y17enYGHG1T1+mf0yaHXRNV7MSwXejXHxngJltyvXGN2B/R+tY5wv2bcM9fVnoQs0x/a3H/nNWfCL/wB9P/5ppb2d7SWOu226Bu7nUfvYHPiQ/wAR70j7VdqZJJv2PoOZbyQ7XkTnb7L7+/lWZY5ylqelLNjjDYG7YasZ7qPRdHMs1y7YkYPuAyMbefqcnyoKLsfdafrmkKzd7HM+6Z0HCMo3EfTjrTvQez8HZuOC8vpFe7ZyZ5j0RdjHaP5+f5Uw/wC2Wh5z8RJ9e5f+VX3lFa4/Bl+uEntm4/0H6jNDpljJd3NxMI48Zw9Vy47X6XLEFWa7+ZT8w8iKj7X9pdK1LQp7W0uC0zlSqtGy5ww9RXnobgZPIpvj/HUlcyfyvlOLrG+HrmkavaaxJJHaXFzmNctuIo2WHAB+Jl59x/KqN/s1IF5ejn+yXn71dpZGZVAB8/bIpJ49Z0h4Zt8e0vJFdWxjQEXErE858P4fLVa1u7lKppGnyu008Cd6PDhFx7Dj6037Sa9HpGnSykbpXhxEmep9foPOlXZ2zaws7q7umLXc8SNuPJVT0FPBOrZHK47VE7bSLbR5GSKWXKJjeQuTnr5UPf4Mcm2Z87M9Rz+VOdYul7m+4zgoAMZpBI8jkyNG/c5WNjvHU44P49KvjbatmPMkpfiakSMjOQG2+/vQSMitECy5OQWJP50x1iS3hs3kijZWE7Rg7+i4OBVXOoYaEgyZGceIf0KtHvSTjQykDAx4Knc4FRwp3aGNxyzdRSsau+Ih4jtfPlUf7VeYMESVjuzkYJA/rzpgUGz6UJfjJHO3uU3rj69PpUvZ7Ro7yx1GeW3jdoe7KHGGB5zjPrxTzQ7G7NnfSz4y9uWQOwbcueOlEa/fWlt8fEsZSYW0HMeMDlveoyyNvVGiGOo7SF3a021ql/cQvLDPD3SiBkBXnbz9ea8x1Cf4iXe6qGzkjGDXql7oz6ml5cpcht8tvlc85JXiq5rHZg3V+RZASSZIYI3LHHQ5OAfvTQaqrDdO6KFHIsZBULg9Rip7eW3huInuIluIs5cKduR9auUXYUnTYruKaOY94wZUPOAOnUCqVNsjllgbds7wg5A8NMpJlfIRe6haCILZPKoyQFdQQBx5/alz6jcAbCykDplRUMu0MVLlhu4IAp1oOkR6jG7C4gVk47uT5h7/AEoeR6UFbFGoXd8Xc2lrJa2ykIVjiKjI45z05Fa025uJJEtZkMquBHkk5VR5DHNBya1qd6sUTXs5GAoRJCCxHAJ5qV7hY7cAXtw1yp4Ks2CfPDE9B0+tZItG+UaVFjv9XuLESWT6XDayQIEhkK+OFD1x5ZbqT7+1LNCljm1uK/e2jW2iXAQ5I+U+L3PoM9cUlmvLu7cWwuJ3LYDZkY5/OnAufgreO3ilcBDlsMR4vT7VWNTf8EZrSPPLLZFcy3k/xUViDbWuNyM24BfqTmm6agL2Ri9tHHHvEjBVyOnQGqQLmabZHb3F0sWAWJLcnzwBTRVvrV+7t76Qsp8ayFvm9PtWhJHmyj+2XP4lZ7hW+HRQzHyz5eXpTWf4bSbR7u8VO7WPcBjOT0A+5qj2uvXMEinUIJVUNywzg8eWaOF8vaDVIIGlKafbne+9sbz6dfw+5oNE2nZaexelvctLrmpQr3lxnuk8o19R/XSrQ8VpFLBJMqJGqOSzHaB0quXnafS9Lt1InEzBcLFGwPPv6Cqtd6zJ2hu4k1a+SwsRkiMAs2Pp159TxWaeKU3bNWPKox8DDVng13XETsnZukqqQ9xGxRXHr7D386K7F3+j6Us8esW/c3wZlMwJkBGeg25x+hpna692W03Rri0025WMvCy/2b7nbGBk4rzsOcDDED0zTQhvFwfEGc/rkpppsv8A2s13QLvSmhsbndMxIA2uP7reoxVCyRjA49agumJMIJOO9Wpc9frVseNY1qjPmyPI9mbLeLxN/dPHr0rZYVDIoZ0PmoJHvXTEbuD581Um/BZ+xN5ZW1zdG/vI7ZWjAVnk2Z58uasdx2j0GJUb9phyIzxHKXJ6dMVV+xOmWWqXM638CzCNMqGPnVpHZzR4TF3enW+4xN5Z5yKyZFHfpeLeog06CXtBdXOqXqyfCwwsbWNyQcjz58v405dQLOQ97J/wsX94+lE3Ci3tpUAEcYtMADoOvGKWSzqbGQCVR/u0QHP0p0rJSkEaluVrvxyqe+ix4/pQ2p+EXLB5T/vcYOenRK51C4jZrkJMGzNEfm9MVDfsGguWVt3+/RlfEMEbU56/WmSoS7N3WyYRxyDKPqBDDHXg1XNRsnjmeeNR8OJ2jRQec/0KeySZaEhlONRJ+fy5561AP94hVZXjMf7RbepcYxtbnrTo4qUIZni4bO/ptzn2r0Ls7oLaVbS3sZWdbi0aRU2Y2jH61WLW1hstWtLqO4B3yy7lLDCDnHn0plHrMsemRoLjBS0kT+05PoKXIpS4isJRi+jTV9Vh+BAhiZH/AGcN3lnpVb1OVpVvvCS4gh3Nnry1R3F4XtBulXd8AExv6HjiuJLiJnuzNJuQQwgqHGTy2aMIaoVylJ2xtpepG2urzcneIZbcuCDwNyc081jSri533OnWsaublWdY5SC3h44wBVTlnt0v55I2LQGeBthfBYBl9D9/tTa7vlWVgZ9lubhXE0EhG5CPmxnnb51OUXtaKRmtaYdoOl6jYBJ4ktby3luXJiEnI4PTIxSftV2Nl1a2ivtIsbVJmmkEiJPktycADGMjmh0nuI3Ng16YZWu3aCeOc7XB6ZOeh8j5Hiq+1/qsZjgS4ukmjuHyqzNkjJ8h5+9DSV3ZSMklwq0sMqM1rJGRKrkdOhzjFDqkiOybWUg+lXCNV1WCbeLeEQrukfY0kpHm3zZ+/lQwutOgumMW1l24HxaFh9hnP4+VPqyqycFkMkdtb/EjQrA8jce9O1QR0Jz1NA6nqMUkwuP2Tp8fAysUvXjHQGlEtzcuDA87yxI5IG7Kk55NMrLQp53tHbY6TZYoh3MFGOTjpmsi6qRuaUfykM+yun3N0ZFsdJgvruQ5Rt/EYPmTny/nTr9gX/Zu+trnVdOsm3t4TJOpU8c4yead6Nq83Z7RpLWCW3hUEuHa2YLk9ATkZ8hVE1TXb3Wb3vr65kncNgE/Ko/yjyFXiteGNzeS6PXrPW9OjsJE0XTIjIi5VSUxn1Jz5da3bdp9OS2T4ezt1m2gEIUAJ+vmK8je/aCNUgnOwrghXPI961BcNPlXuBGgHOT5VTSJmeOR6tF2n0ixRJriGE3AZmdYirZyCAPakV/rl7fd5c2Ftb6bYM39sPApJ9/M/TPviqxYGxEkSbg5PMm9fCPtTjtFei9lSWOdZo4ogqbkwFPngeXlTRik7Qj5xjDRZtBs5luL2dLubcCSwJUH1x50s1G6+J1G5uI8FZJWIOeq54/KlKy4G4kZ/wBK1BMTEn0pqVgp0G3DgwliMnjk9eoogNx9hS6Rv3bfb9RRcZYRjNEDXDd03ih/6q1NuoK7fxRf9QVtpK4DXArcN4z5A4/KuWkoTvcMMkdD+orln6UQ0XTsGYmubvvVUgRjGWxjmrNN3GzIUHA4O8jn8a8+7L3PdT3B3gZQefvTqS7JiOGGMHdz1qbj2xJWNL94GhcqoZjH8okJ5/GkDMO4292OUX/5p9PrUM9wzAgcHZQZl/csp+YRqc0yQEh2bC5Me9YlPy4/enn867lvFhieCWIq6Mo2CUc9KWprM8MTeJSAwwrdaW3l4887yHku/X8K45JsssOtoibTAgUSEAKw/A1HDrMMTOWhURtKcYYZ6dKq0gaPO45AYmoCWABI4zmjQdB7e3RvbuMQW6Bc5GSM81zLpt7bxh2t4yuw7vFniku+VLhDEe7yQQQatOnzT3Fm5eePcAVO1ckVwXwrcruh2NFHkJ0Lc1xLKQzO0MYGP8X+tF63p8kDJI53r3YH8P4UqfGG8ulcOulp0TVZjH8EttGwLAJtYZI4PnTB7q60uSRnsgLQNu2iRfCcc9fWqLE7J44mKyoQVdW5A4q5aZNc6xpciyXcRd8oygZbHTnn+FBiyjQPc9oo7e6WWC1X4dxgjeAB9PIVHcdp0a7gubKzT4lMh3Z1yyenB69OaSato1xZTCIsDDISY2zwSP40hkVonK/Kynkg0CkIRaLnf9p7Uul/aWaJfo2Q+5cKehB9eM1J/wBr7GZVa602FpMekTD7ZqjFdqBmIIb5sHmhpUZDj15z60rLLFE1o2gzX8pSYPEVHhVQCzH0Ar1fQ/8AZ8mlabaT3F1Os4XvH+Hk7tdxHm3mAOB9z50t7F9g7JZ7mfUJ7gqECLG7bH5HibjkKRwPPrzR3bYdktO0aSx5S6C/uI7aVt4/5jn9azQVF82Rzeif9Fa/2gW0bXkK2N5d3YVf3iySb0Q/5SaQ2NkEBac90rKRnGSAPT3P86WW6PNIAXO0csc9BR10sDBDHIxOMN5AegFWXmwNarWzgI/SNPDnjOOlTiMeDcAD1PFDwpEZMO7KgGSRREFp300MW8gu3JY9B5U4kqD7C2Ur3pyG9KhuciRkRjw3T7Cn7aFZwQFzORgc7iOarq2wLyMHO0NkUxCLTbMwSPm5HWurXd3Sc+Vc9wd/DHFSwWuEwZMYXjij7DyiSXJjYe/8RRwG1Ryc4oQWbSNs73b9aYvZGKMkuvA9TRXknJ8F9yx3x/8AUFYxPNcyW7sQd44YHrWpLaZV3EjGK4PKOX8UkfOOtbLHpnIrhrWZmiYc7TzzXLRS7jkedD2HnAy0tfiS4WQpgDO2pzpkvdki6cHJ4oayE0TNtOAQKP7wmLxvyD+NER3YI9hcqeLk8jHIrTWN1uZRdcbR/d61PK7nBzWxJgqVZiT1rjtmCtYXRye/JPUDB5rqDT77vkBlAGQeh4o6yINzEJmIi8wcVYLmxtpYWAMSDbneh5oAc2vQpn0O97osksROMn5s1rS9GllUd8FYck8nOaCuXIiRlkcv8uM8Y9f0oczyqPC7D75NEHWiyR6Daksk5LsnCjdtyKH1PTv2aizWUzRhvCyg81XmupQhVnYhvPNDG5lkQlpX3Y4yc1wVBhzyvMGWeRmyPCW5oQIx425A9qhiSZhuLsOevrRM3dwAMXbxjOPegx6riOFtpN24Kw/jRFovw10GaSVFJyWTrSyW8dxgEgetRrKzoRv5HQ81w+jaPRbjS7PVkEkcszf4XMrOR9iaEsOz+l3MTx3SlryNisvjILejDnpjH3qiC5kRNySvu8xnFcRXcqsSXfB6gGgwLDL9l4h7M6bZ6j3Oo73inH7lixG0jqDg/TB9ql1DsXaN/wAKXEYPylun0J/SqBcSyCQfvnYEcEmuUuHIKvPMPTxGlY/1T/2Pck7NaPC+/wCCjd5Qod5OTjyA9ABwAOAK8c7Zadb6b2hu7e1DCMNkBmz1z/KsrKjHwD485OTtkVhbxtBtI4YnOPPABH60ufnLEnrisrKp6LxfWGQQIUiJz4mweafdl7KDUbqZrtd+1d23yzW6ynRHK+DntNY21tZu0MKoyFdpHvVbjUd2w/xE5rKyiZ4+CNGNERqCIz6nmsrKIWMtIhSe6ZZV3Ac4pxqVlbi1dhGAVGQaysok/YkSJWbB9v0qaRFZSCOMVlZRCRSQIgQrkZPrQ7AGTHuaysoHI30jP1rCoMbZ8jWqyuOZA3rUpYp3ZHtWVlcEh712lIz/AHsVbLK0gMaq0angcnrWVlcLIR6tCsMs0UZYLEwK8+o5H5CkJkdw2WPHpWVlApj8G48nYcng5oxII+9PHnW6ygNJg99K0JZY8AUAxLodxJ29KysrmPHwQk5OawEjkdRWVlAsdugEpA6VFIMHisrK5nJkgUNAxP8AdPFRE+WBWVlKwps//9k=" alt="Project 4" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">Stock Sentiment Prediction</h3> | |
| <p class="card-desc"> | |
| Analyzes financial news and social media trends to forecast market movements using Natural Language Processing. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">TensorFlow</span> | |
| <span class="tag">Python</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://huggingface.co/spaces/simran40/stock-sentiment/tree/main" class="btn-small">View Code</a> | |
| <a href="https://huggingface.co/spaces/simran40/stock-sentiment" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <img src="data:image/jpeg;base64,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" alt="Project 4" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">Text To Speech</h3> | |
| <p class="card-desc"> | |
| Converts written text inputs into natural-sounding, synthesized human speech using deep learning models. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">Google Text-to-Speech</span> | |
| <span class="tag">PyTorch</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://huggingface.co/spaces/simran40/text-to-speech-client/tree/main" class="btn-small">View Code</a> | |
| <a href="https://huggingface.co/spaces/simran40/text-to-speech-client" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <img 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" alt="Project 4" class="card-image"> | |
| <div class="card-content"> | |
| <h3 class="card-title">Diamond Price Prediction</h3> | |
| <p class="card-desc"> | |
| Estimates the market value of diamonds based on features like carat, cut, and clarity using regression algorithms. | |
| </p> | |
| <div class="tags"> | |
| <span class="tag">Scikit-learn</span> | |
| <span class="tag">Pandas</span> | |
| </div> | |
| <div class="card-links"> | |
| <a href="https://huggingface.co/spaces/simran40/diamond_price_prediction/tree/main" class="btn-small">View Code</a> | |
| <a href="https://huggingface.co/spaces/simran40/diamond_price_prediction" class="btn-small">Live Demo</a> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script> | |
| <script> | |
| // BACKGROUND 3D ANIMATION SCRIPT | |
| const canvas = document.querySelector('#bg-canvas'); | |
| const scene = new THREE.Scene(); | |
| const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000); | |
| const renderer = new THREE.WebGLRenderer({ canvas: canvas, alpha: true }); | |
| renderer.setSize(window.innerWidth, window.innerHeight); | |
| renderer.setPixelRatio(window.devicePixelRatio); | |
| // Create Particles | |
| const particlesGeometry = new THREE.BufferGeometry(); | |
| const count = 2000; | |
| const positions = new Float32Array(count * 3); | |
| for(let i = 0; i < count * 3; i++) { | |
| positions[i] = (Math.random() - 0.5) * 40; // Spread range | |
| } | |
| particlesGeometry.setAttribute('position', new THREE.BufferAttribute(positions, 3)); | |
| const particlesMaterial = new THREE.PointsMaterial({ | |
| size: 0.03, | |
| color: 0x00f260, // Greenish tint matching the theme | |
| transparent: true, | |
| opacity: 0.6 | |
| }); | |
| const particlesMesh = new THREE.Points(particlesGeometry, particlesMaterial); | |
| scene.add(particlesMesh); | |
| camera.position.z = 10; | |
| // Interaction Variables | |
| let mouseX = 0; | |
| let mouseY = 0; | |
| document.addEventListener('mousemove', (event) => { | |
| mouseX = event.clientX; | |
| mouseY = event.clientY; | |
| }); | |
| // Animation Loop | |
| const clock = new THREE.Clock(); | |
| function animate() { | |
| const elapsedTime = clock.getElapsedTime(); | |
| // Rotate entire system slowly | |
| particlesMesh.rotation.y = elapsedTime * 0.05; | |
| // Gentle wave effect on vertical axis | |
| particlesMesh.position.y = Math.sin(elapsedTime * 0.5) * 0.5; | |
| // Mouse parallax effect | |
| particlesMesh.rotation.x = mouseY * 0.0001; | |
| particlesMesh.rotation.y += mouseX * 0.0001; | |
| renderer.render(scene, camera); | |
| requestAnimationFrame(animate); | |
| } | |
| animate(); | |
| // Resize Handler | |
| window.addEventListener('resize', () => { | |
| camera.aspect = window.innerWidth / window.innerHeight; | |
| camera.updateProjectionMatrix(); | |
| renderer.setSize(window.innerWidth, window.innerHeight); | |
| }); | |
| </script> | |
| </body> | |
| </html> |