EduPro

Inspiration

First, we made a Google form survey for high school, college, and university students about things they do not like about their education system. Based on their answers we started thinking about the platform that will help students make their education path easier and simpler.

What it does

Creating an AI for an educational project with the functionalities you've described can provide a comprehensive learning experience for students.

The AI can assess a student's strengths and weaknesses by analyzing their performance on assessments and participation in activities. Based on this analysis, it can suggest personalized learning paths, including recommended topics to study, resources to read, and exercises to complete.
The system can adjust the difficulty level of the material presented to the student, ensuring that it is neither too challenging nor too simple, thus keeping students engaged and motivated.
As students engage with the content, the AI can provide real-time feedback, helping them understand mistakes and learn the correct concepts instantly.
The AI can create individualized tests based on the student's learning history and current understanding. These tests can vary in difficulty and cover specific areas where the student needs improvement.
Data Privacy: Ensure that all student data is handled securely, with respect for privacy and adherence to relevant data protection laws.
Scalability: The system should be able to handle multiple users simultaneously, especially if deployed in a school or university setting.
User Experience: The interface should be user-friendly and accessible, catering to students of different ages and technological proficiencies.
Integration: The AI system should be capable of integrating with existing learning management systems (LMS) and other educational tools to provide a seamless experience.

How we built it

First, we worked on a Frontend part of our website, using HTML, CSS, and JavaScript we created all the pages that we needed. (Login page, Home page, Community, AI, etc.) After we finished the Frontend part we started working on Backend, using Python and Flask. We also created a database of users who registered, so that their information can be saved for Login.

Challenges we ran into

Since all the group members are in different countries it was a little bit hard to weekly meet with each other but we still always helped and listened to each other, even through busy days.