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.