A cutting-edge music generation and visualization platform, created by Maximelio Finch and Sirena Backham, leveraging AI and web technologies to craft a novel musical experience. The project features a server-side API for music generation and a client-side application for dynamic 3D visualization.

• Developed a Node.js backend with Express for robust server-side scripting and API processing.
• Integrated OpenAI & Replicate for AI-driven music creation, enhanced by FFmpeg for media processing.
• Built a reactive client-side UI using React and animated 3D graphics with Three.js for music visualization.
• Utilized Vite for efficient project building and included tools like eslint for code quality assurance.
• Incorporated AI models for content generation, enabling users to create music and album covers from prompts.

Developed an AI-assistive drawing application designed to enhance artists' workflows, facilitate art learning, and accelerate art production

• Integrated a Style Transfer TensorFlow model and Stable Diffusion (SD) models as widgets, with processing managed by CLIP Drop’s SD API>
• Crafted and refined the drawing canvas, incorporating industry-standard controls for enhanced user interaction
• Engineered the program for multithreading, ensuring each AI widget operates on a separate thread for optimal performance.
• Actively working on the development of a DALLE2 plugin for advanced spot correction

• Created with HTML5 utilizing the canvas element and JavaScript.
• Illustrated all original sprite sheets and background seen in game.
• Implemented simple physics
for fighter sprites.

Use (W,A,S,D, space) for player 1 and Arrowkeys for player 2

• Created a multithreaded network infrastructure for one-on-one and tournament modes.
• Implemented a JavaFX GUI and Junit testing. Set up a PostgreSQL database for high scores with 4 team members.