AI Music Generator

Overview

This project is an AI-based Music Generator developed using Python, TensorFlow, Keras, and Music21. It learns musical patterns from MIDI files and generates new melodies using a trained neural network.

Features

• Reads MIDI files for training
• Uses an LSTM neural network for sequence learning
• Generates new musical note sequences
• Saves the generated music as a MIDI file
• Beginner-friendly implementation

Technologies Used

• Python
• TensorFlow
• Keras
• Music21
• NumPy

Project Structure

• "music_generator.py" – Main application
• "dataset/" – Training MIDI files
• "generated_music.mid" – Generated music output
• "music_model.h5" – Trained model

How to Run

1. Install the required libraries.
2. Place MIDI files inside the "dataset" folder.
3. Run: python music_generator.py
4. The generated music will be saved as "generated_music.mid".

Future Improvements

• Train on larger datasets
• Generate longer compositions
• Add multiple music styles
• Build a graphical user interface