Made for LinceHack 2024 by:
Gabriel Galván | Julen Hoppenstedt | Fernando Morán | Monica Soberón
TARE.STUDY is a smart platform designed to support teachers by enabling them to:
- Visualize classroom performance, including student averages and activities.
- Receive detailed weekly performance reports.
- Select notes, prompts, or SEP books, and automatically generate teaching plans and exams with difficulty levels adjusted to the group's performance.
We built TARE.STUDY using a combination of modern web technologies and AI tools:
- Backend: Node.js and Express for server-side operations.
- Frontend: React for a dynamic and responsive user interface.
- Database: MongoDB for storing user data, course information, and generated PDFs.
- AI Integration: OpenAI's GPT-3.5 for generating personalized teaching plans and exams.
- PDF Handling: Libraries like pdf-lib to create and manage PDF files for reports and exams.