🚀 Project Title: Real-Time-Face-Recognition-and-Demographics-Detection-System

📌 Overview

[The aim of this project is to develop an AI-powered real-time face recognition system that accurately detects faces and predicts the age and gender of individuals. This system leverages advanced computer vision techniques and deep learning models to provide robust and efficient face recognition capabilities, with applications in security, personalized services, and demographic analysis. The project seeks to create a user-friendly interface that allows for seamless interaction and real-time feedback, ensuring accessibility and practicality for a variety of use cases.]

🧠 Key Features

• ✅ Real-time tracking / face recognition
• ✅ Data Analytics]
• ✅ AI/ML integration

🛠️ Technologies Used

💻 Frontend

🧩 Available Platforms

• 💻 Windows

📸 Screenshots / Demo

Dashboard

📱 Installation & Setup

Prerequisites

• opencv-python-4.5.5.64
• opencv-contrib-python-4.5.5.64
• Pillow-10.3.0
• h5py-3.11.0
• imutils-0.5.3
• mtcnn-0.1.0
• tensorflow-2.16.1
• Keras_Preprocessing-1.1.2

Setup Steps

# Clone the repository
git clone https://github.com/Raghavan2005/Real-Time-Face-Recognition-and-Demographics-Detection-System.git
Open Folder Real-Time-Face-Recognition-and-Demographics-Detection-System
Double Click Install.bat # When First Start

# Run

Double Click start.bat  # TO RUN

📄 License

This project is licensed under the MIT License.