{"data":{"featured":{"edges":[{"node":{"frontmatter":{"title":"Pedophilia Detector","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/db81b29aad742dddbd1ee50e81191a4f/bc3b9/compil.png","srcSet":"/static/db81b29aad742dddbd1ee50e81191a4f/9a130/compil.png 175w,\n/static/db81b29aad742dddbd1ee50e81191a4f/a3fa1/compil.png 350w,\n/static/db81b29aad742dddbd1ee50e81191a4f/bc3b9/compil.png 700w,\n/static/db81b29aad742dddbd1ee50e81191a4f/e3b2c/compil.png 1400w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/db81b29aad742dddbd1ee50e81191a4f/dae43/compil.avif 175w,\n/static/db81b29aad742dddbd1ee50e81191a4f/d7667/compil.avif 350w,\n/static/db81b29aad742dddbd1ee50e81191a4f/7ec1a/compil.avif 700w,\n/static/db81b29aad742dddbd1ee50e81191a4f/57a27/compil.avif 1400w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/db81b29aad742dddbd1ee50e81191a4f/5d873/compil.webp 175w,\n/static/db81b29aad742dddbd1ee50e81191a4f/26a00/compil.webp 350w,\n/static/db81b29aad742dddbd1ee50e81191a4f/f23f0/compil.webp 700w,\n/static/db81b29aad742dddbd1ee50e81191a4f/7b1d0/compil.webp 1400w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["Python","NLP (Natural Language Processing)","Machine Learning","Text Mining","Behavioral Analytics"],"github":"https://github.com/hamza-ihind/pedophilia-detector","external":"","cta":""},"html":"<p>A specialized <strong>NLP and behavioral intelligence system</strong> designed to protect online spaces by identifying grooming patterns and suspicious user behaviors.</p>\n<p>The platform uses advanced <strong>lexical parsing, semantic clustering, and typing pattern analytics</strong> to detect illicit profiles and anomalous behaviors in chat transcripts.</p>\n<p>By incorporating machine learning classifiers, the tool acts as a critical defensive layer for kids' safety, providing real-time risk scores and automated warnings for moderators.</p>"}},{"node":{"frontmatter":{"title":"HumFind","cover":{"childImageSharp":{"gatsbyImageData":{"layout":"constrained","placeholder":{"fallback":"data:image/png;base64,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"},"images":{"fallback":{"src":"/static/20659ddd9f875bf9268a617460aafcf3/2b365/humfind.jpg","srcSet":"/static/20659ddd9f875bf9268a617460aafcf3/1849b/humfind.jpg 175w,\n/static/20659ddd9f875bf9268a617460aafcf3/3f5de/humfind.jpg 350w,\n/static/20659ddd9f875bf9268a617460aafcf3/2b365/humfind.jpg 700w","sizes":"(min-width: 700px) 700px, 100vw"},"sources":[{"srcSet":"/static/20659ddd9f875bf9268a617460aafcf3/dae43/humfind.avif 175w,\n/static/20659ddd9f875bf9268a617460aafcf3/d7667/humfind.avif 350w,\n/static/20659ddd9f875bf9268a617460aafcf3/7ec1a/humfind.avif 700w","type":"image/avif","sizes":"(min-width: 700px) 700px, 100vw"},{"srcSet":"/static/20659ddd9f875bf9268a617460aafcf3/5d873/humfind.webp 175w,\n/static/20659ddd9f875bf9268a617460aafcf3/26a00/humfind.webp 350w,\n/static/20659ddd9f875bf9268a617460aafcf3/f23f0/humfind.webp 700w","type":"image/webp","sizes":"(min-width: 700px) 700px, 100vw"}]},"width":700,"height":394}}},"tech":["CNN/GRU","Triplet Loss","FAISS","DTW","FastAPI","Docker"],"github":"https://github.com/hamza-ihind/humfind","external":"#","cta":""},"html":"<p>HumFind is a query-by-humming search engine that identifies songs directly from a hummed melody. The core search pipeline features a custom <strong>CNN/GRU encoder</strong> trained with <strong>triplet loss</strong> to generate robust embeddings for similarity search. It utilizes <strong>FAISS</strong> for fast high-dimensional nearest-neighbor retrieval, using <strong>DTW (Dynamic Time Warping)</strong> as a comparative baseline. Evaluated on the <strong>MIR-QBSH</strong> dataset, the system is deployed using <strong>FastAPI</strong> and <strong>Docker</strong> for real-time, low-latency audio search.</p>"}}]}}}