Movie Recommendation System

The Movie Recommendation System provides intelligent movie suggestions using content-based filtering with TF-IDF and SVD dimensionality reduction. It features a modern web interface, RESTful API, and supports datasets from 2K to 1M+ movies. - ✅ Production Ready - Security hardened, optimized, well-documented - ✅ Scalable Architecture - Handles millions of movies efficiently - ✅ Modern Tech Stack - Django 6.0, Python 3.11+, advanced ML - ✅ Easy to Use - Simple installation, clear documentation - ✅ Flexible - Train on 10K or 1M+ movies from any TMDB-shaped CSV - Backend: Django 6.0, Python 3.11+ - ML/Data: scikit-learn, pandas, numpy, scipy - Storage: Parquet (efficient data format) - Deployment: Render, Heroku, Docker compatible Movie Recommendation System is the open-source project inboxpraveen/Movie-Recommendation-System (https://github.com/inboxpraveen/Movie-Recommendation-System) by inboxpraveen, released under MIT. Ion packages it unmodified from commit 16b75ce90d01, adding only a manifest, an icon and a start script.

Written by inboxpraveen, published to Oikou by Ben Grande.

• ★ 238 stars on GitHub
• Licence: MIT
• Built from commit 16b75ce90d01

View the repository on GitHub

Not rated. Nobody has said who this app is suitable for, so Personal Clouds and the Oikou app treat it as 18+.

Internet

It asks to reach these hosts, and no others:

• fonts.googleapis.com
• fonts.gstatic.com
• www.themoviedb.org
• image.tmdb.org

Personal Cloud tools

None. It uses nothing from your Personal Cloud beyond its own storage.

Notifications

It does not send push notifications.

Storage

Up to 512 MB on your Personal Cloud.

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