This project aims to detect stress levels using [describe method or approach, e.g., Machine Learning, a specific dataset, etc.].
1.Data preprocessing and cleaning 2.Feature extraction and selection 3.Stress classification using machine learning models 4.Model evaluation with performance metrics 5.Visualization of results 6.Deployment-ready notebook structure
StressDetection.ipynb: The Jupyter Notebook containing the code and analysis for the project.- [Other files or folders if applicable].
To run this project, you need the following:
- Python 3.x
- Libraries:
numpy,pandas,matplotlib,sklearn, etc.
Install dependencies using:
pip install -r requirements.txt