AI-Driven Autism Spectrum Disorder Detection System This project focuses on the early detection of Autism Spectrum Disorder (ASD) in infants using advanced AI and deep learning techniques. Early identification enables timely intervention, significantly improving developmental outcomes. Built with a modern React.js frontend and a robust AI-powered backend, the system analyzes behavioral patterns, visual cues, and interaction data to assist healthcare professionals in identifying early signs of autism with high accuracy. Key Highlights: 🏆 Winner – YIP 5.0 District Level Competition 🏥 Awarded for innovation in healthcare and early diagnosis 🤖 AI-powered deep learning models for behavioral analysis 📊 Data-driven insights using real-time and historical data ⚡ Fast, scalable backend using modern APIs 🎨 Clean, accessible, and responsive React.js UI 🔄 Continuously evolving with improved models and datasets The project aims to bridge the gap between technology and healthcare by delivering an intelligent, scalable, and reliable solution for early autism detection.