WALL-E is an academic web-based adaptive learning platform designed to personalize educational content and provide interactive AI tutoring support for students and teachers.
Developed during the 'Programação Radical 2024' event at UNIVAG, WALL-E serves as a prototype for tailored educational experiences. The application provides dedicated portals for both students and educators, featuring an AI chat interface to answer technical questions and streamline study workflows.
- Backend: Python, Flask
- Frontend: JavaScript (ES6+), HTML5, CSS3
- Architecture: RESTful Simulation APIs / Server-Side Template Rendering
- Multi-Portal Architecture: Separate workflows and dashboards for students and teachers.
- Interactive Chat Simulation: Simulated intelligent assistant providing contextual learning answers.
- Responsive Learning Interface: Clean dashboards optimized for study tracking and material access.
- Clone the repository:
git clone [https://github.com/Paulorgdc/wall-e.git](https://github.com/Paulorgdc/wall-e.git) cd wall-e