/execute: AI Genesis

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AI-powered solo project that generates unique music from MIDI using LSTM neural networks.

Rimsha Naim

RimshaNaim

My project is an interactive AI music generation web app that I developed using Streamlit and LSTM neural networks. The idea behind this project is to explore how artificial intelligence can learn musical patterns and generate new, creative melodies based on user input. The app allows users to upload their own MIDI files, visualize note patterns, train a model, and then generate unique music sequences. I’ve included sliders to let users customize training settings like sequence length and epochs, giving them control over the output. What makes this project special for me is how it connects creativity with machine learning — showing how AI can be used in artistic fields. It was a challenging but exciting journey where I got to combine coding skills with my passion for music and innovation. I submitted this individually to explore and demonstrate my learning and creativity in AI-driven sound generation.

An interactive AI-powered music generation app that lets users upload MIDI files, set parameters like sequence length and epochs, and generate new music creatively. Built using Streamlit for a smooth user experience.

"Rimsha Naim team on /execute: AI Genesis Hackathon"

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