🎵 Emotion Music Sentiment Analyzer

An AI-powered web application that detects human emotions using facial expressions and recommends music accordingly.

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📌 About the Project

The Emotion Music Sentiment Analyzer uses Computer Vision and Deep Learning to recognize facial emotions in real time through a webcam and suggest suitable music.

This project is ideal for students and beginners who want hands-on experience with AI, OpenCV, Flask, and Deep Learning, while still being strong enough for resumes and interviews.

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✨ Features

• 🎥 Real-time emotion detection using webcam
• 🧠 Deep learning model for emotion classification
• 🎶 Music recommendation based on detected emotion
• 🌐 Flask-based web interface
• 👤 Face detection using OpenCV Haar Cascade

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🛠 Tech Stack

Languages

• Python
• HTML
• CSS

Libraries & Tools

• Flask
• OpenCV
• TensorFlow / Keras
• NumPy
• Haar Cascade
• Git & GitHub

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📁 Project Structure

Emotion-Music-Sentiment-Analyser/ │ ├── app.py ├── camera.py ├── utils.py ├── train.py ├── model.h5 ├── requirements.txt ├── haarcascade_frontalface_default.xml │ ├── songs/ │ ├── angry.csv │ ├── disgusted.csv │ ├── fearful.csv │ ├── happy.csv │ ├── neutral.csv │ ├── sad.csv │ └── surprised.csv │ ├── static/ │ └── css/ │ └── style.css │ ├── templates/ │ └── index.html │ └── README.md

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⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/Krishn-01/Emotion-Music-Sentiment-Analyser.git
cd Emotion-Music-Sentiment-Analyser
python -m venv venv
venv\Scripts\activate
2️⃣ Create Virtual Environment (Windows)
python -m venv venv
venv\Scripts\activate

3️⃣ Install Dependencies
pip install -r requirements.txt

4️⃣ Run the Project
python app.py

🌐 Open Browser
http://127.0.0.1:5000

🧪 Sample Code
def detect_emotion(frame):
    prediction = model.predict(frame)
    return prediction

🔧 Git Commands Used
git init
git add .
git commit -m "Initial commit - Emotion Music Sentiment Analyzer"
git branch -M main
git push -u origin main

🚀 Future Improvements

Improve emotion detection accuracy

Spotify API integration

Cloud deployment

Mobile-responsive UI

👤 Author

Krishn Kumar Pandey
🎓 B.Tech – Information Technology
🔗 GitHub: https://github.com/Krishn-01

⭐ If you like this project, don’t forget to star the repository!