Created a movie recommendation system that suggests similar movies based on genre and plot similarity. Used TF-IDF and cosine similarity for recommendations and integrated the OMDb API to fetch movie data dynamically and handle unseen movie inputs.
🔗 View ProjectThis project focuses on the efficiency of iterative methods.It includes a detailed analysis of convergence rates and computational complexity. It also provides a comparison of different iterative methods, such as Jacobi and Gauss-Seidel. It also dives into the Parallel Programming aspects of these methods and how they can be optimized for modern hardware. It also includes a detailed analysis of the convergence rates and computational complexity of these metative methods for solving linear systems.
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