📆 RotinaPy

RotinaPy is an application developed with Streamlit to assist in personal organization and the management of daily routines, study monitoring, flashcards, and more. This project is an evolution of 🤺 LUX, with improved features and planned future integration with it.

✨ Features

• 🗓️ Daily Routines: View and organize your daily tasks according to the days of the week.
• 🤖 Chat with LLMs: Use language models running locally with Ollama.
• 📊 Study Metrics: Monitor your academic progress and analyze your performance.
• 📚 Flashcards: Efficiently review content.
• 🧮 Formula Management: Integrate formulas for quick and direct study.
• ✅ TO-DO List: Manage your tasks with a simple and effective list.

📂 Project Structure

|-csvs
 |  -domingo.csv 
 |  -quarta.csv 
 |  -quinta.csv 
 |  -segunda.csv 
 |  -sexta.csv
 |  -sábado.csv
 |  -terça.csv
|-pages
 |  -Chat.py
 |  -Estudos.py 
 |  -Flashcards.py  
 |  -Fórmulas.py 
 |  -Tarefas.py  
|.gitignore
|LICENSE
|README.md
|Rotina.py
|estudos_tracker.db
|formulas.csv
|pomodoro_tracking.csv
|requirements.txt
|style.css
|tarefas.txt
|utils.py 

🛠️ Installation

1. Clone the repository:

$ git clone https://github.com/silveirinhajuan/RotinaPy.git

2. Navigate to the project directory:

$ cd RotinaPy

3. Create a virtual environment and activate it:

$ python -m venv venv
$ source venv/bin/activate # Linux/MacOS
$ venv\Scripts\activate # Windows

4. Install the dependencies:

$ pip install -r requirements.txt

5. Ensure Ollama is installed and that at least one model is downloaded on your machine. For more information, visit Ollama's official website.

6. Run the application:

$ streamlit run Rotina.py

🧩 Dependencies

The project's dependencies are listed in the requirements.txt file:

• ollama==0.4.1
• pandas==2.0.3
• plotly==5.24.1
• streamlit==1.40.0

🎥 Demo Video

You can find a demonstration of the project in the following file:

RotinaPy.mp4

📝 Acknowledgments

Part of the Flashcards page code was inspired by the Flashcard repository by raman-r-4978. Many thanks for sharing your work!

🤝 Contributing

Contributions are welcome! Feel free to open issues and submit pull requests.

📜 License

This project is licensed under the MIT license.

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Developed with ❤️ by Juan Guerra.