Project Overview
We built a recommendation engine based on user surveys, preferences, and manually curated song attributes instead of relying on third-party APIs.
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Music Recommender Web App
Logic-driven recommendations without external APIs.
Status
Shipped
Year
2024
Role
Team lead & developer
Tech Stack
3 technologies
Overview
An academic project where I led a small team to design and build a music recommender web app using our own datasets and logic.
Technologies Used
ReactTypeScriptNode.js
Case Study
Deep dive into the thinking, decisions, and lessons behind this project.
My Role
I coordinated the team, designed the data flow, and implemented core logic for the recommendation system along with the front-end experience.
Key Outcomes
Learned how to lead a small technical team, collect data, and build something usable from scratch under academic constraints.
What's Next
I will revisit this project, as soon as my Rhythmé's MVP V1 is completed. Because this idea was something unique and Me and my team will try to bring it back to life with a new vision that I am working on the side right now.
Key Takeaways
Building a product solo requires ruthless prioritization and clear phase planning
Technical architecture decisions compound—investing in quality early pays dividends later
User psychology matters more than feature count—understanding behavior beats adding complexity
Sustainable products require sustainable processes—no shortcuts, no burnout
Interested in This Work?
If you're working on similar problems or want to discuss this project in depth, let's connect.