MoodBeats

MoodBeats is an emotion-based music recommendation system. It detects a user's emotion in real-time using a webcam, processes the image through a trained neural network model, and plays a YouTube song corresponding to the detected emotion. The songs are selected from CSV files based on different emotional categories (e.g., Happy, Sad). Users can also manually choose their emotions for a more customized experience.

Features

• Real-time emotion detection via webcam
• Neural network model integration
• YouTube song playback according to detected emotions

Usage

All required libraries can be installed using a single-line command:

pip install -r requirements.txt

While to run the code:

Console-based version:

python main.py

Streamlit-based version:

streamlit run app.py

Description about various files:

• app.py: Contains a streamlit-based version of the main code.
• main.py: Core program logic for emotion detection and song playback.
• model.h5: Trained neural network model for facial emotion recognition.
• Song_Names: Folder containing CSV files with songs representing specific emotions.
• requirements.txt: File containing all required Python modules.