R&D
AI Recommender
Building a Smarter Music Recommendation Engine
Persona
Karan
Client
Internal R&D
AR
The Challenge
While standard recommendation algorithms are good, this project explored if modern LLMs could create more nuanced, personalized recommendations by understanding the deeper context of a user's listening history.
Our Solution
To create an AI-powered music recommendation system by feeding a user's Spotify data into the Gemini API for deep preference modeling.
Technologies Used
Scikit-learn
Key Results
Demonstrated our ability to apply large language models (LLMs) to structured data to create sophisticated, personalized user experiences.