Designed a client-focused movie recommendation system using the KNN algorithm for personalized entertainment experiences. By gathering movie rating data, identified K most similar users based on preferences. This generates tailored and user-friendly recommendations.

Leveraging these insights, my system suggests highly rated, yet unseen movies by analyzing the collective preferences of its nearest neighbors.Resulting in efficient and reliable recommendations, enhancing the personalized entertainment journey for users.

Technology used: Python, machine learning.