Inspiration

Nowadays, we can find a large number of resources, both free and paid, that can confuse students, particularly college freshers, in deciding which technology to use because there are so many options available, and none of the available resources focus on personalised problem solving and student growth. We took on this problem statement as a team because we faced the same issue during our first year.We also talked to our seniors, but as we all know, each student has their own way of studying, so we used machine learning and artificial intelligence to enhance personalised learning and efficient resource management.

What it does

The main feature of our project is that we use generative ai to create unique questions with the same difficulty level in order to avoid plagiarising and cheating. WE have also created a ml recommendation model for personalised student learning. Based on previous data and incorrectly attempted questions in previous tests, this model will recommend appropriate documentation and video lectures to students. This will assist students in improving their weak areas rather than focusing on their strong areas. We will provide resources from both internal and external sources.

How I built it

Frontend was developed by react and backend through nodejs. New questions for every student can be generted through genrative AI and Content based filtering method is used for recommendation system . mysql is used for database storing

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