Project Title: FilmGenie Full-Stack AI Movie Recommendation Platform

Overview: FilmGenie is a live, full-stack AI-powered movie discovery web platform designed to eliminate choice paralysis. It features an intelligent recommendation engine that analyzes user inputs—such as age, region, favorite genres, and personal preferences—to generate personalized film selections in real time through a dark-mode web interface.

Key Features & Technical Execution:

1: AI Recommendation Engine: Architected dynamic recommendation pipelines to process user taste profiles and deliver contextual movie suggestions.

2: RESTful Backend Architecture: Built a modular Node.js and Express backend handling user preference requests, dynamic filtering, and TMDB API integrations.

3: Database & Cloud Deployment: Configured MongoDB Atlas for data management and deployed the production-ready application to Vercel with optimized performance and low latency.

4: Responsive UI/UX: Designed a modern, dark-themed React frontend tailored for both mobile and desktop viewports.

Tech Stack:

Frontend: React, JavaScript, HTML5, CSS3

Backend: Node.js, Express.js

Database: MongoDB Atlas

Cloud & Deployment: Vercel

APIs: TMDB API, AI Integration