AI-Powered Face Detection & Authentication System

project Description: AI Face Detection System AI Face Detection System is a modern web-based application designed to detect and analyze faces, distinguishing between real and AI-generated images using advanced technologies. The system provides a secure and user-friendly interface, starting with an authentication page where users can log in or create an account. After login, users are redirected to a professional dashboard that includes multiple functional modules. Key Features: Authentication System Secure login and registration User session management AI Face Detection Analyze uploaded images Detect whether the face is real or AI-generated Image Upload Drag & drop interface Supports multiple formats (JPG, PNG, GIF) Live Recognition (Optional Feature) Real-time face detection using camera Enrollment System Add and manage face data for recognition Logs & Reports Track user activity and detection results Modern Dashboard UI Clean and responsive design Sidebar navigation for easy access Technologies Used: Frontend: HTML, CSS, JavaScript UI Design: Modern responsive design with smooth UX Backend (optional): Node.js / Python (AI integration) AI Model: Face detection & classification model Project Goal: The main goal of this project is to provide a smart and reliable tool for detecting manipulated or AI-generated faces, which is essential in areas like security, identity verification, and digital content validation.