🎵 AI Music Composer
An AI music composer built with Haskell, capable of learning from famous musical pieces and generating new compositions using statistical models.
Achievements
Initial release of the AI Music Composer, showcasing the use of AI and functional programming in music composition.
𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻
The project aimed to explore the capabilities of AI in the field of music composition, leveraging the power of functional programming and Haskell.
𝗧𝗮𝘀𝗸
Develop an AI system that can analyze and learn from existing musical pieces to generate new compositions, using statistical models to predict musical sequences.
𝗔𝗰𝘁𝗶𝗼𝗻
Implemented the AI music composer using Haskell, a language known for its strong support for functional programming paradigms.
Utilized Haskell's type system and purity to manage complex data transformations and statistical computations efficiently.
Developed functions like `makeStatsList` to gather statistical data from training music pieces and `compose` to generate new music based on learned patterns.
Leveraged functional programming to create concise and expressive code, making it easier to reason about the AI's behavior and ensure correctness.
𝗥𝗲𝘀𝘂𝗹𝘁
The AI music composer successfully demonstrated the potential of AI in music creation, producing unique compositions that reflect the characteristics of the training data.
Haskell's functional programming features provided a robust framework for developing the AI models, ensuring high performance and reliability.