Intro

An AI-driven facial emotion recognition system specifically designed for elderly healthcare environments. This innovative solution leverages advanced computer vision and deep learning techniques to detect and classify facial emotions in real-time, empowering healthcare professionals to monitor the emotional well-being of elderly patients and enable timely interventions.

Features

Real-time Emotion Detection: Advanced facial recognition using HOG and CascadeClassifier Deep Learning Integration: LSTM networks for accurate emotion classification Healthcare-Focused: Tailored specifically for elderly patient monitoring Data Analytics: Comprehensive statistical analysis and visualization of emotional patterns API-Ready: RESTful API built with Flask for seamless integration Persistent Storage: MongoDB integration for emotion logging

dataSet

Technology

Python, Flask, MongoDB, Microsoft Azure(vps) ,OpenCV CascadeClassifier, HOG (Histogram of Oriented Gradients), LSTM (Long Short-Term Memory),NumPy, Pandas, Matplotlib, Statistics