AI-Stress-Analysis-System
🧠 AI-Driven Lifestyle Stress Analysis System
📌 Project Overview
This project is an AI-driven lifestyle stress analysis system that evaluates daily habits such as sleep, screen time, work hours, and physical activity to determine stress levels.
It combines statistical modeling, visualization, and rule-based intelligence to generate insights and provide personalized stress management recommendations.
🎯 Objectives
- Analyze daily lifestyle activities
- Calculate stress score (1–100 scale)
- Classify stress into detailed levels
- Provide AI-based recommendations
- Visualize stress patterns using graphs
🧠 Technologies Used
- 🐍 Python
- 🔢 NumPy
- 📊 Matplotlib
- 📈 SciPy
📊 Visualizations Included
| Visualization | Description |
|---|---|
| 🥧 Pie Chart | Daily Time Distribution |
| 📊 Bar Chart | Lifestyle Comparison |
| 📈 Line Graph | Weekly Stress Trend |
| 📉 Histogram | Global Stress Comparison |
| 🔵 Scatter Plot | Screen Time vs Stress |
| 🌈 Dashboard | Stress Severity Indicator |
📸 Sample Outputs
⚙️ How to Run the Project
# Clone the repository
git clone https://github.com/yashbajaj02/AI-Stress-Analysis-System.git
# Install dependencies
pip install -r requirements.txt
# Run the project
python stress_analysis.py
🧠 AI Insight
The system provides intelligent suggestions based on stress levels:
- ✅ Low stress → Maintain routine
- ⚠️ Medium stress → Improve habits
- 🔥 High stress → Immediate action
- 🚨 Critical stress → Professional help
🚀 Future Improvements
- 🌐 Convert into Streamlit Web App
- 📱 Mobile integration
- ⌚ Wearable device data integration
- 🤖 Machine Learning-based prediction
🎤 Viva Line
“Clear execution steps improve reproducibility of the project.”
👨💻 Author
Yash Bajaj