AIHabitTracker

AI Habit Tracker with Pattern Detection

A comprehensive habit tracking application that uses machine learning to detect patterns and correlations between your daily habits and productivity/mood.

🚀 Features

• Daily Habit Logging: Track sleep, exercise, screen time, water intake, and work/study hours
• Mood & Productivity Tracking: Rate your daily mood and productivity (1-5 scale)
• Pattern Detection: ML-powered analysis to find correlations between habits and outcomes
• Predictive Insights: Get warnings about potential low-performance days
• Visual Analytics: Beautiful charts and heatmaps showing your patterns
• 100% Offline: All data stays on your machine
• Adaptive Learning: Improves predictions as you collect more data

📊 Sample Data Structure

Date	Sleep (hrs)	Exercise (min)	Screen Time (hrs)	Water (glasses)	Work Hours	Mood (1-5)	Productivity (1-5)
2025-01-01	7.5	30	4	8	8	4	4
2025-01-02	6.0	0	8	4	6	2	2

🛠 Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt

🎯 Usage

GUI Application

python src/gui_app.py

Streamlit Dashboard

streamlit run src/streamlit_app.py

Command Line Interface

python src/cli_app.py

🧪 Testing

Run the test suite:

pytest tests/ -v --cov=src

📁 Project Structure

AIHabitTracker/
├── src/
│   ├── __init__.py
│   ├── models/
│   │   ├── __init__.py
│   │   ├── habit_model.py
│   │   └── database.py
│   ├── analysis/
│   │   ├── __init__.py
│   │   ├── pattern_detector.py
│   │   └── visualizer.py
│   ├── gui_app.py
│   ├── streamlit_app.py
│   └── cli_app.py
├── tests/
│   ├── __init__.py
│   ├── test_models.py
│   ├── test_analysis.py
│   └── test_integration.py
├── data/
│   └── habits.db
├── requirements.txt
└── README.md

🔬 ML Features

• Correlation Analysis: Find relationships between habits and outcomes
• Time Series Prediction: Predict future productivity based on patterns
• Anomaly Detection: Identify unusual days that break your patterns
• Recommendation Engine: Suggest optimal habit combinations

📈 Example Insights

• "Your productivity peaks after 7.5+ hours of sleep"
• "Exercise days show 40% higher mood scores"
• "Screen time over 6 hours correlates with 2-point mood drops"
• "Warning: 3+ days without exercise predicts low productivity"

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Ensure all tests pass
5. Submit a pull request

📄 License

MIT License - see LICENSE file for details