RecommenderX: Cloud-Based Movie Rating and Recommendation SaaS
Project Type
Objective
Designed a scalable, production-style movie rating and review SaaS where users can rate movies, write reviews, manage watchlists, and receive AI-powered review support.
Tools & Technologies
Project Details
Designed and deployed a full-stack cloud application that allows users to rate movies, write reviews, manage watchlists, and view aggregated ratings.
Built a cloud-native backend using Django and PostgreSQL with persistent storage and user authentication for real-world usage patterns.
Integrated an AI-powered review generation feature by connecting a LLaMA-based language model to generate human-like movie reviews.
Implemented recommendation logic to surface personalized movie suggestions alongside user-generated and AI-generated reviews.