Built using the Streamlit framework, the system integrates several key technologies:

• Movie Recommendations: Leverages IMDb data to provide intelligent and relevant film suggestions.

• Sentiment Analysis: Employs nltk (Natural Language Toolkit) to process and analyze user input or movie reviews, offering deeper insights into film reception.

• Image Processing: Utilizes OpenCV to manage and process visual data, such as movie posters or related imagery.

This project demonstrates a practical application of data science and natural language processing within a responsive, user-friendly interface, showcasing skills in software development, HCI, and applied AI.