The Challenge
Users struggle to discover quality entertainment content across multiple platforms. Existing recommendation systems lack personalization and cross-platform integration.
My Approach
User Research: Surveyed 100+ users about content discovery pain points
Architecture Design: Built scalable microservices with React + Node.js
ML Integration: Implemented collaborative filtering recommendation engine
API Integration: Connected TMDb, Spotify, and other entertainment APIs
Tech Stack
Key Features
Personalized recommendations using collaborative filtering
Cross-platform content aggregation (movies, TV shows, music)
Real-time trending content updates
User preference learning algorithm
Responsive design for all devices
Social sharing and watchlist features
Impact & Results
Helped 200+ users discover personalized content, with 85% reporting improved content discovery experience. Average session time increased by 40%.