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# Stress Detection System |
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### Machine Learning Course Project |
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### Stress Detection System using Machine Learning |
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<br /> |
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## [Presentation](Presentation.pdf) |
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## Tech Stack used |
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### ML Model |
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- Python |
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- Scikit Learn |
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- Random Forest Classifier |
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- WESAD Dataset for wearable stress and affect detection |
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### Application For demonstration |
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- React.JS |
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- Flask |
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- Hosted at [http://15.206.150.71/](http://15.206.150.71/) (Not Active Anymore) |
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<br /> |
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## Team Members |
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- Dhruv Verma |
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- Aayush Barmecha |
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- Aayush Nigam |
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- Abhinav Kumar |
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## To start |
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- install `python3 pip node npm` |
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- clone the repsitory and `cd` into it |
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- `pip install -r requirements.txt` |
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- Train the model by executing the train script `./train.sh` |
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- start the server by executing the server script `sudo ./server.sh` |