Vaistas
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niranjanneeru
Medical Assistant , Voice- Assistant using voice flow, Django Back-end API For Storing Client Records
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
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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
Contributors
 Niranjan B(Neeru) 💻 📖 🚧 |
 Mili Murali(CodeitM) 💻 📖 |
 Sinadin Shibin (Skeptic) 💻 |
 Laveena Herman (laveena01) 💻 |
References
https://people.csail.mit.edu/mrub/evm/
Haar Cascade Classifier
5282a81a6b13b952acc5bd2d8971716096c2f2f5
Google Speech Recognition Python Library
Metadata
Owner
niranjanneeru
Metadata
Medical Assistant , Voice- Assistant using voice flow, Django Back-end API For Storing Client Records