Stress Sense: An AI Powered Stress Assessment Tool

This project aims to develop an intelligent stress assessment tool using machine learning algorithms like SVM and Random Forest, which analyzes user's responses to a series of questions to predict their stress levels. Through the analysis of user's responses to a carefully curated set of questions, the tool aims to gain a comprehensive understanding of various factors contributing to their stress levels. These questions are designed to capture a wide range of experiences and challenges commonly associated with stress. By Using machine learning techniques, the tool provides personalized assessment. The tool seeks to uncover patterns and relationships within the data that may indicate differing levels of stress among users. This analytical process involves extracting meaningful features from the responses and training the model to accurately predict stress levels based on these features