The problem Gyaan Setu solves

The problem statement it solves lies in the education sector.

As college students, we are all too familiar with the struggle of procrastinating studying until the last minute. The pressure of upcoming exams can weigh heavily, leading to stress and anxiety. Sifting through multiple chapters in multiple books and navigating the abundance of information online can be overwhelming, leaving us feeling lost and unable to focus. This problem is faced not only by myself, but by 20+ crore students only in India who are constantly battling exams, tests, and assignments, leaving them little to no time for other skill-development activities or a social life. The constant pressure and stress can take a toll on our mental health, leading to burnout.

Gyaan Setu is a platform which works as a one-stop shop offering a simple and straightforward way to take notes, where all you do is input your topic of interest and let the algorithm curate the most relevant, concise and organized content for you. If any of the output is not required, all you need to do is delete it with a single click!
Gyaan Setu also promotes the sharing of curated content amongst the community, so on the communities page, we will be able to see notes saved by various users from our own universities and even others organized by the course, department and subject. A main advantage of this is peer sharing and it is going to be so simple for the teachers to create their own notes and let students access the best material for achieving excellence.

DISCLOSING RE-USING

We would like to disclose that our project, Gyaan Setu, was previously submitted and utilized in the Imagine Cup 2023 hackathon. While we have made some updates and improvements to the project since then, a significant portion of the code and concept remains the same. We believe that our project is still relevant and valuable to the current hackathon and hope that it can be considered for judging based on its merit in the current competition.

Challenges we ran into

A main challenge we are facing is the speed of the output being generated. It takes a little time for the algorithm to run, and there are other functionality that we could have added like QnA generation but that only adds to the time.