Skip to content

Latest commit

 

History

History
102 lines (67 loc) · 2.5 KB

README.md

File metadata and controls

102 lines (67 loc) · 2.5 KB
Raw

Vaistas

Hackathon Project @ MAKE A TON

Stress and Health Diagonoser, Voice Assistants , Django Rest Framework API

Stress and Health Diagonoser

Tracks

HeartBeat
Speech rate
Eye Blink Rate
Emotions

The Pitchdeck of this project.

Code

Details about the Project ,Backend , ChatBot in Voiceflow which is in maintenance until 5.30 pm

Set-Up

$ pip install -r requirements.txt

Run the main.py file

click any of the diagnosis method avaialble Once you are finished click sync/History

Now go to the chat application and talk to it It gives you suggestions based on what you just updated

Vaistas

PyQT,OpenCV,Tensorflow

Working

Purpose File
PyQt App Running File main.py
User Interface Design DSD.ui
Data train and test data for emotion
Speech Rate audio-speech.py
For Calculating Speech Rate speech.wav
User Credentials Storing cred.py
Haar Cascade Files Eye Face
Heartbeat using Color Magnification Algorithm heartbeat.py
Read the data from the server and display History read.py
Upload data to server store.py
Eye Blinking and Emotion Running in Threads thread.py

Backend

Future Implementation

  • NLP For Chat Bot
  • ML Model which predicts the state of user for details age,BMI,Heart rate, Eye Blink rate,Speech rate and Emotion

Contributors

1. Emil
2. Mili
3. Laveena
4. Niranjan
5. Shibin

References

https://people.csail.mit.edu/mrub/evm/
Haar Cascade Classifier
5282a81a6b13b952acc5bd2d8971716096c2f2f5
Google Speech Recognition Python Library