Vision-Based-Attendance-and-Emotion-Monitoring-System

This project is a computer vision application that automates attendance tracking and detects emotions in real time using deep learning.

? Features

Real-time face recognition for attendance logging

Emotion detection using DeepFace

Live video processing with OpenCV

OCR integration (Tesseract) for name and ID extraction

User-friendly interface suitable for classrooms and workplaces

? Tech Stack

Python

OpenCV

DeepFace

PyTorch / Keras

Tesseract OCR

? Project Structure main.py # Entry point face_recognition.py # Face detection & recognition logic emotion_detection.py # Emotion classification ocr_module.py # Text extraction requirements.txt # Dependencies

⚙️ How to Run

Clone the repo

git clone

Install dependencies

pip install -r requirements.txt

Run the app

python main.py

?️ Demo

This project was developed as part of a vision-based AI system for attendance and emotion monitoring. It combines multiple AI components — recognition, emotion analysis, and live feedback — into a real-time interactive system.