Study Progress Dashboard

This interactive dashboard provides a comprehensive view of your study progress for various exams. It visualizes your study habits, performance across different categories, and offers AI-powered insights to help you optimize your study strategy.

Features

Personal study progress tracking
Performance analysis by question category
Study intensity calendar
Daily performance trends
AI-powered insights
Interactive study session analysis
Achievement badges

Installation

Clone this repository:

git clone https://github.com/yourusername/study-progress-dashboard.git
cd study-progress-dashboard

Create a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

Install the required packages:
```
pip install -r requirements.txt
```

Usage

Run the Streamlit app:
```
streamlit run dashboard.py
```
Open your web browser and go to http://localhost:8501 to view the dashboard.
Select your email from the dropdown to view your personalized dashboard.

Data

The dashboard currently uses sample data for demonstration purposes. To use real data, you'll need to create a SQLite database named user_data.db with the following tables:

user_events: Contains individual question attempts and results
user_badges: Contains achievement data for each user

Customization

You can modify the dashboard.py file to add new features, change the layout, or integrate with a different data source. The dashboard is designed to be flexible and can be adapted for various types of exams and study materials.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is open source and available under the MIT License.

Contact

If you have any questions or feedback, please open an issue on this repository.

Awhitter/pgstndtrprt