PARIS

PARIS (Plataforma de Aprendizaje con Reconocimiento Inteligente y Secuencial) is an advanced learning assistant that utilizes intelligent recognition technologies and sequential processing to enhance the educational experience. This tool is designed to assist students and educators by integrating artificial intelligence into teaching and learning, offering an interactive and personalized approach.

Getting Started

Prerequisites

• Python 3.8 or higher
• Libraries: OpenCV, NumPy, MSS, PIL, CustomTkinter, Pynput, Plyer

Installation

1. Clone the repository to your local machine.
2. Run pip install -r requirements.txt to install the necessary dependencies.
3. Configure the config/config.json file with the required parameters.

File Structure

A brief description of the main structure of the project:

config/

• config.json: Project configurations. resources/
• fonts/: Fonts for the user interface.
• images/: Used images and icons. app.py: Main user interface script. network.py: Network communication handling. processor.py: Image processing. recorder.py: Screen recording functionality. utils.py: Common utilities.

Usage

To use PARIS:

1. Run python app.py.
2. Interact with the interface to access the different functionalities of the assistant.

Contributions

Contributions are welcome and appreciated. If you want to contribute to the project, feel free to fork and send your pull requests.

Authors

• Carlos Alberto Bustamante Gaytán - Initial Development

Acknowledgments

• Thanks to my family, friends and advisers that have supported or inspired the development of PARIS.