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Personalized product recommendation engine for online stores
Build an intelligent recommendation engine that analyzes user behavior, purchase history, and browsing patterns to suggest relevant products in real-time.
User behavior tracking
Collaborative filtering
Product similarity engine
Real-time suggestions
Analytics dashboard
FastAPI backend for recommendation engine, React frontend, PostgreSQL for user data
Machine learning basics
Data preprocessing
REST API development
Implement recommendation systems
Build ML APIs
Handle user analytics
Collect user activity data
Collaborative filtering implementation
Deploy recommendation API
Display recommendations
Model evaluation and optimization