MovieMe: Movie Social Platform

Overview

MovieMe is a web-based social platform that enriches the experience of discovering and sharing movies through social interactions. The platform serves as both a personal movie catalog system and a movie-centric social network.

• Please review the refactored and optimized microservices project, now with WebSocket real-time chat support, rabbitmq for better decoupling and enhanced stateless JWT authentication. [https://github.com/Polumm/demo-whatsapp]

Key Features

• User Authentication & Profiles: Secure user accounts with personalized movie collections.
• Social Connectivity: Friend requests and friend-based movie recommendations.
• Intelligent Chatbot: Personalized movie recommendations using mood, genre preferences, and friends’ movie selections powered by Google Gemini API.
• Advanced Movie Search: Explore movies with extensive filtering using TMDB API.

Architecture

• Microservices:

  • Main Application (Flask-based frontend)
  • Database Microservice (PostgreSQL, Redis caching)
  • Chatbot Microservice (Google Gemini API integration)

• Hosting & Deployment:

  • Azure Kubernetes Service (AKS) and Azure Container Instances (ACI)
  • Docker containerization for consistency
  • GitHub Actions for automated deployments

Tech Stack

• Frontend: Flask (HTML/CSS/JavaScript), AJAX
• Backend: Python, PostgreSQL, Redis
• Microservices: Docker, Kubernetes, Azure
• APIs: TMDB, Google Gemini, Movie Quotes API

Links

• Web App: MovieMe
• Demo Video: Watch here
• Main App Repo: COMP70085-Team-Project-II
• Database Microservice Repo: chatbot-database
• Chatbot Microservice Repo: chatbot-service

Performance & Scalability

• Caching Strategy: Redis for rapid data retrieval, fallback to PostgreSQL.
• Scaling: Kubernetes autoscaling to manage traffic (tested with 3000+ users).
• Session Management: Session affinity with cookie-based routing to maintain consistent user experience.

Security & Privacy

• Authentication: JWT-based secure and stateless authentication.
• API Security: Strict input validation and secure decorator-based access control.

Future Enhancements

• Improved chatbot natural language interactions.
• Movie soundtrack integration.
• Expanded social media-inspired features.
• Enhanced AI-driven personalized recommendations.

Team Members

• Asal Shams
• Chujia Song
• Kevin Chave
• Sermila Ispartaligil
• Ziheng Shan