(Pytorch, Flask, NumPy, Pandas, Python, HTML, CSS)                                                                             

Home

*   Developed a machine learning-based movie recommendation system using Matrix Factorization in PyTorch, enabling personalized movie suggestions based on user ratings.

*   Created a web application with Flask to handle user interactions, allowing users to log in, add ratings, and receive real-time movie recommendations, while leveraging TMDB API for fetching movie details.

[Github Link](https://github.com/mabrown8888/MovieSuggester.git)


(LC2K Processor, LC2K Simulator, C, Visual Studio)

*   Developed a high-performance C program for translating LC2K assembly files (\*.as) into machine code representations (\*.mc), automating the conversion process and enhancing efficiency in programming workflows.

*   Created a C program to simulate the LC2K ISA using machine code files, providing detailed processor analysis and generating output to stdout.

