Stress-Detection-using-Machine-Learning

Aim:

To develop a live Stress Detection API using Deep Learning, CNN and Flask

Dataset:

Keras FER2013 dataset

Libraries Required:

1. Keras
2. OpenCV
3. Dlib
4. imutils
5. Flask

Resources:

68 Point Facial Landmark

Procedure:

1. Emotion Recongition- model training
2. Getting Vieos frame-by-frame using OpenCV
3. Calculation stress levels using eyebrow and lip movements
4. Displayng calculated stress levels continously on the frame
5. Deploying the Ap using Flask in Python

Working:

Clone and download the repository and run the app.py file and view the output in the local server page.