Stress Detection

This project aims to detect stress levels using [describe method or approach, e.g., Machine Learning, a specific dataset, etc.].

Features

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

Project Structure

• StressDetection.ipynb: The Jupyter Notebook containing the code and analysis for the project.
• [Other files or folders if applicable].

Requirements

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