Developed a Machine Learning-based movie recommender system leveraging data cleaning and vectorization techniques.Integrated APIs to retrieve and enrich movie data, ensuring comprehensive analysis and accurate predictions.Enhanced user satisfaction with a personalized recommendation engine tailored to individual preferences.Utilized Scikit-learn, TensorFlow, and Pandas for robust model development and e cient data processing.Delivered scalable solutions optimizing movie suggestions based on user behavior and historical data patterns.