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# Stress_Detector

Aim:

Project 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
  4. 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.

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API to detect Stress through real-time facial recognition using Deep learning and CNN

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