Summary
An AI-powered movie recommendation platform leveraging a machine learning model for personalized suggestions, mood-based filtering, and multi-language support. Features natural language processing, a FastAPI backend, and a custom recommendation algorithm that we fine-tuned to handle diverse queries.
Technical Highlights
- AI Recommendation Engine: Built with
scikit-learnusing Content-Based Filtering and TF-IDF Vectorization over movie plot metadata, tags, and genres. - FastAPI Backend: Leveraged async features in Python for concurrent requests and TMDB API integrations.
- Tailwind Front-End: Responsive web portal styled with dark mode and dynamic hover layouts.
- Fuzzy Search Integration: Auto-completes and maps misspelt user titles to database movies instantly.