Stress Level Detection Project Using Machine Learning

Stress Level Detection Project Using Machine Learning is a web-based application that helps users detect and monitor their stress levels by leveraging machine learning algorithms. The goal of this project is to predict stress levels based on user inputs, such as mood, daily activities, sleep patterns, and physical symptoms. By analyzing these inputs, the application can suggest personalized measures to help users manage stress more effectively.

Software Requirements:

• Frontend: HTML, CSS, JavaScript

• Backend: Python Flask

• Machine Learning Libraries: Scikit-learn

  
  

Features:

• User-friendly Interface: Allows users to fill in their details quickly and view their results on a dashboard.

• Machine Learning Model Integration: Accurately predicts stress levels based on user data.

  
  

This project aims to help users become aware of their stress levels and take preventive measures to improve their mental and physical well-being.

Project Includes:

• PPT

• Synopsis

• Report

• Project Source Code

• Base Research Papers

• Video Tutorials

  
  

Reach out us for the Project code and Documents.