
Emotion Detection using CNN
Developed a convolutional neural network (CNN) model to detect human emotions from facial expressions in images, leveraging deep learning techniques to achieve accurate emotion classification.
Developed a convolutional neural network (CNN) model to detect human emotions from facial expressions in images, leveraging deep learning techniques to achieve accurate emotion classification.
Built a web application that aggregates and analyzes real estate data to help users find properties that match their criteria, utilizing web scraping, data processing, and a user-friendly interface.
Created a personalized movie recommendation system using collaborative filtering and content-based filtering techniques, enabling users to discover movies based on their preferences and viewing history.