AI-Powered Recommendation Engine

🚀 Features

• Collaborative filtering (SVD)
• Content-based recommendations
• Model versioning
• FastAPI endpoints

🛠 Tech Stack

Technology	Purpose	Benefit
FastAPI	API development	Async support, auto-docs
Scikit-Surprise	Recommendations	Specialized ML library
Pandas	Data processing	Efficient data manipulation
Docker	Containerization	Consistent environments

💡 Skills Showcased

• Machine Learning: Matrix factorization, TF-IDF
• API Design: REST endpoints, versioning
• Data Engineering: ETL pipelines, feature engineering
• MLOps: Model deployment, monitoring

🛠 Setup

docker build -t recommender .
docker run -p 8000:8000 recommender


## 📖 Usage
```bash
curl http://localhost:8000/recommend/123