During my LearnBay project session taught by Kumar Sundram, I had the fantastic opportunity to develop a Movie Recommendation System! 🎬✨ Using the knowledge and skills gained from the course, I built a robust system that analyzes user preferences and suggests personalized movie recommendations. This project allowed me to delve deep into machine learning algorithms and data processing techniques, honing my abilities in Python programming and data analysis.
But the journey didn't stop there! I took it a step further and deployed the Movie Recommendation System using Flask, a Python web framework. Now, not only do I have a fully functional recommendation system, but it's also accessible via a user-friendly web interface. I'm incredibly proud of this accomplishment and grateful for the guidance and mentorship provided by Sundaram Sir and the LearnBay team. This project has not only enriched my understanding of machine learning but also empowered me to apply my skills to real-world scenarios.
If you're interested in learning more about my Movie Recommendation System or exploring how machine learning can enhance your projects, feel free to reach out! Let's connect and discuss the exciting possibilities.
- Unzip the file
- set the file location joblib in app.py file
- run the app.py file
- Boom !!! Enjoy