Movie Recommendation System
Built a movie recommendation system using Flask, MongoDB, and data scraping techniques.
Project Details
- Implemented a recommendation engine using Pandas and Numpy for data pre-processing and analysis.
- Scraped movie data using BeautifulSoup for building a robust database.
- Built the backend with Flask for server-side processing.
- Utilized Jupyter Notebook for prototyping and simple task implementation.
- Designed the frontend with HTML and CSS templates sourced from Google.
Technologies Used
Flask
BeautifulSoup
Pandas
Numpy
MongoDB
Jupyter Notebook
HTML & CSS
Links
Key Features
Personalized Recommendations
Provided accurate movie recommendations based on user preferences.
Web Scraping
Built a robust movie database using scraping techniques.
Interactive Frontend
Simple and responsive frontend design for user interaction.
Get Started
Ready to dive in? Follow these steps to get started with the project:
- Clone the repository
- Install dependencies
- Set up PostgreSQL database
- Configure environment variables
- Run the FastAPI server