Overview
Melodia AI is an intelligent music discovery platform that helps content creators find the perfect soundtrack for their videos, podcasts, and other digital content. The platform's mission is to revolutionize how creators source music by leveraging AI to understand and match musical elements with content requirements.
My Role
As a Full-Stack AI Engineer, I architected and implemented both the AI-powered backend infrastructure and the intuitive frontend interface. I worked on developing the machine learning models for music analysis while ensuring seamless integration with the user-facing components.
Key Features / Achievements
- Developed an advanced AI-powered music analysis system that processes and categorizes tracks based on genre, mood, tempo, and style characteristics
- Implemented a multi-source music search system that allows users to discover similar tracks through YouTube/Spotify links or direct MP3 uploads
- Created specialized recommendation algorithms tailored for different content types (videos, tutorials, podcasts), improving content-music matching accuracy
- Built a scalable AWS infrastructure capable of handling concurrent audio processing and AI analysis tasks
Stack & Tools
The solution combines modern web technologies (React, Next.js, TailwindCSS) with advanced AI/ML capabilities. The backend utilizes AWS Amplify and Node.js for scalability, while integrating OpenAI and TensorFlow for intelligent music processing. This hybrid architecture ensures both powerful AI capabilities and a smooth user experience.
Results & Outcomes
The platform successfully streamlines the music discovery process for content creators, reducing the time spent searching for appropriate soundtracks from hours to minutes. The AI-powered matching system has demonstrated high accuracy in understanding musical context and content requirements, leading to more relevant and faster music recommendations for creators' specific needs.
