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RecommenderX: Cloud-Based Movie Rating and Recommendation SaaS

Mar 2025 - May 2025
Django / Cloud / AI Recommendations
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Project Type

  • Association: University of Missouri-Kansas City
  • Role: Cloud Application Development
  • Backend: Django and PostgreSQL
  • AI Feature: LLaMA-powered review generation

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

PythonDjangoPostgreSQLCloud DeploymentAuthenticationGoogle Cloud StorageGroq APILLaMA

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.

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