"A system that detects human facial expressions using computer vision and AI, then suggests the most appropriate emoji to match the detected emotion in real-time."

This project aims to organize and analyze SURE Trust's student data using Python, Google Data Studio, and Sheets. We're uncovering enrollment patterns, demographics, and enrollment influencers through data cleaning and visualization to enhance SURE Trust's student management and experience.

A real-time facial emotion recognition system using DenseNet121 CNN, detecting emotions like happy, sad, angry, and surprise from webcam or image input. The system maps emotions to emojis, enhancing interaction. Built with TensorFlow, Keras, and OpenCV, this project showcases deep learning in human-computer interaction.