Vaistas

Hackathon Project @ MAKE A TON

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

Stress and Health Diagonoser

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Tracks

HeartBeat
Speech rate
Eye Blink Rate
Emotions

The Pitchdeck of this project.

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Code

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

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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

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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

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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

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Contributors

Niranjan B(Neeru) 💻 📖 🚧	Mili Murali(CodeitM) 💻 📖	Sinadin Shibin (Skeptic) 💻
Laveena Herman (laveena01) 💻

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References

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