This web application highlights my skills 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 web design. The app provides personalized movie recommendations by allowing you to select a movie IMDb 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 web-based app demonstrates incorporating predictive analytics with front-end design to create useful data-driven experiences.