🎯 Human Emotion Detection Web Application (Image, Video, Real-Time)

This project is a Flask-based Web Application that can detect human emotions from:

• 📷 Uploaded Images
• 🎥 Uploaded Videos
• 🎥 Real-Time Webcam Feed

It uses a Deep Learning model trained to recognize emotions like Angry, Happy, Sad, Neutral, etc., and is fully mobile-friendly!

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📦 Features

• ✅ Upload an image ➔ Detect emotions ➔ View processed image
• ✅ Upload a video ➔ Detect emotions ➔ View processed video
• ✅ Real-time webcam emotion detection directly on browser
• ✅ Beautiful Bootstrap 5 frontend
• ✅ Loading spinners during processing for smooth experience
• ✅ Mobile & Desktop compatible (Responsive design)
• ✅ Lightweight and easy to deploy

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🛠️ Technology Stack

Component	Technology
Frontend	HTML5, Bootstrap 5
Backend	Flask (Python)
ML Model	TensorFlow/Keras
Image Processing	OpenCV
Deployment Ready	Can be hosted on Render, Heroku, or localhost

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📄 Project Structure

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⚙️ Installation and Setup Instructions

1. Clone this repository:

   git clone https://github.com/PankajMahanto/Human_Emotion_Detection_WAPPS
   cd Human_Emotion_Detection_WAPPS
   

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📢 Notes:

✅ You should replace:

• [Pankaj Mahanta]
• [email protected]
• PankajMahanto
• Screenshot paths if you add real screenshots.

✅ This README is very professional, formal, and suitable for:

• GitHub upload
• Project submission
• Final-year project report
• Showing in resumes/portfolios

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Data Set Link - https://www.kaggle.com/jonathanoheix/face-expression-recognition-dataset