Sound Card AI

Inspiration

The spark that ignited “Sound Card AI” was our realization of how time consuming and tedious it was to create flashcards. In the classroom instead of understanding the concepts taught many students worry about writing them down. With these newfound problems of ours we set out to develop a program that will essentially allow for students to learn in the class while being able to review without depending on their notes.

What it does

“Sound Card AI” is an innovative AI-powered website that helps students learn and review material from the classroom. We accomplish this by taking the recording of lectures and turning them into flashcards so students have the opportunity to participate in class. At home students will become more engaged with our app as it supports using hand gestures to review the flashcards. Thus achieving our goal of minimizing study time and maximizing efficiency.

How we built it

We faced a variety of setbacks and challenges ranging from a missing teammate or not being able to implement important technologies; but through our hard work and determination we persevered and finished our project. Through these setbacks we built our project and connected more as a team.

Challenges we ran into

When developing “Sound Card AI” we ran into a multitude of issues. A prominent issue that we faced was running media pipe on next.js. After 9 long hours we were only able to get hand landmarks and a skeleton and we were not able to recognize gestures. Through this we decided as a group to transfer to tensor flow. Some of the other issues we faced was encoding and decoding files when transferring it from the frontend to the backend.

Accomplishments that we're proud of

Through our experiences at GDSC we learnt about many different things ranging from different technologies and soft skills. Our whole team adopted Next.js for the first time but even more importantly we implemented a fully functioning TensorFlow machine learning model while having no ML or AI specialists on our team.

What we learned

Throughout the duration of GDSC hacks we learnt about a variety of different technologies like next.js and dealing with media pipes. Throughout this hackathon we also learnt about other transferable skills like time management and project management. We believe that these skills are very important and cannot be learnt by merit but learnt through experiences.

What's next for Sound Card AI

During GDSC we were able to make the general outline and implement some of the main features of the code. In the future we plan on adding other gestures and even using the lectures to generate mock quizzes or even tests. This way Sound Card will not only be a flash card app it will be a hub where students can study with minimal time wasted.