🎶 Can AI Make Music?

🎼 Music Generator Using Genetic Algorithm

Short answer: Yes — and it can evolve based on your taste.

This project demonstrates how Artificial Intelligence can generate music using a Genetic Algorithm (GA).
Instead of learning from large datasets, the system evolves melodies over generations, guided by human feedback.

Users listen to generated music, rate it, and the algorithm improves future melodies using principles inspired by natural selection.

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✨ Features

• 🎵 AI-generated melodies using Genetic Algorithms
• 🧬 User-driven evolution (rate melodies from 0–5)
• 🎹 Real-time playback in the browser
• 🔁 Auto-play after generation
• 📤 Export melodies as MIDI files
• 🎨 Interactive Next.js UI
• ⚡ FastAPI backend
• 🎼 Musical constraints: key, scale, tempo, bars

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🎥 Demo

Run the project locally and open:

• Frontend: http://localhost:3000
• Backend: http://127.0.0.1:8000

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🧠 How It Works

This project uses a Genetic Algorithm (GA) to generate short musical sequences that evolve over time based on user feedback.

1. Initialization
   A population of random musical candidates is generated.
   Each candidate is a sequence of notes constrained by:

   • Key
   • Scale
   • Tempo
   • Bars and notes per bar

2. Playback & Evaluation
   Generated melodies are played in the browser using Tone.js.

3. User Rating (Fitness Function)
   The user rates each melody (0–5).
   Higher-rated melodies are treated as fitter individuals.

4. Selection, Crossover & Mutation

   • High-fitness melodies are selected
   • Notes are recombined (crossover)
   • Random mutations introduce variation

5. Evolution
   The process repeats, gradually producing more musically pleasing results.🎶

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🧩 Tech Stack

Backend

• Python
• FastAPI
• Genetic Algorithms
• music21 / MIDI processing

Frontend

• Next.js (App Router)
• TypeScript
• Tone.js
• @tonejs/midi
• Modern responsive UI

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📁 Project Structure

Music-Generator-using-Genetic-Algorithm/
│
├── algorithms/              # Genetic algorithm logic
├── backend/                 # FastAPI server
│   ├── main.py              # API entry point
│   └── requirements.txt
│
├── frontend/                # Next.js frontend
│   ├── app/
│   │   ├── layout.tsx
│   │   └── page.tsx
│   ├── public/
│   ├── package.json
│   └── README.md
│
├── mgen.py                  # Music generation logic
├── cleanup_older_pyo_versions.py
├── LICENSE
└── README.md

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🚀 Getting Started

Prerequisites

• Python 3.9+
• Node.js 18+
• npm or yarn

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Backend Setup (FastAPI)

cd backend
python -m venv venv
source venv/bin/activate   # macOS/Linux
# venv\Scripts\activate    # Windows

pip install -r requirements.txt
uvicorn main:app --reload --port 8000

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Frontend Setup (Next.js)

cd frontend
npm install
npm run dev

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🔮 Future Improvements

• Multi-instrument support
• Rhythm-aware fitness scoring
• Model-based fitness prediction
• Save & reload evolution sessions
• Cloud deployment (Vercel + FastAPI)

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📜 License

This project is licensed under the MIT License.

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🙌 Acknowledgements

• Tone.js
• music21
• Genetic Algorithm research literature