This web application highlights my expertise in building full-stack solutions that seamlessly integrate data classification and machine learning techniques. Developed using Flask, the app features a dynamic and responsive design tailored for both desktop and mobile devices. It showcases my ability to transform raw data into a functional, user-friendly front-end application, demonstrating a blend of technical proficiency and design sensibility. This web application provides users with personalized movie recommendations by allowing them to select a rating and year range. Additionally, it leverages machine learning to predict the number of votes a movie is likely to receive based on its release year and IMDb rating. This project demonstrates my ability to combine front-end design with predictive analytics to create engaging, data-driven experiences.