Facial Expression Recognition

Build a lightweight model to classify human emotions from video feeds in real-time.

Real-Time Facial Expression Recognition System

Engineered a high-efficiency system using HOG features and Logistic Regression

Achieving 90% classification accuracy across 8 emotional categories