Inspiration
As Penn students, we understand the difficulty of learning and deeply understanding the content of demanding workloads. Because of this, we decided to create an AI based study tool to optimize our learning. In addition, two of our members suffer from ADHD, which makes note taking and staying engaged in class challenging.
What it does
Our product increases lecture accessibility to students who may suffer from certain disabilities such as deafness, ADHD, dyslexia, and more. More specifically, our product converts lecture recordings and lecture transcripts into concise notes, flashcards, and practice questions, through the use of generative AI. This helps everyone digest course content more effectively.
How we built it
We started off on day one just brainstorming our idea and once we had our idea, we spent some time delegating roles and planning out specific tasks to complete. Day Two was where we got through the bulk of our implementation, we mostly worked with two people focusing on Frontend and two on Backend but towards the end we came together to power through integration challenges and fix bugs to create a cohesive, useful app.
Challenges we ran into
We had a lot of issues integrating backend with frontend. For example, some of the data coming out of the LLM had to be processed to get it into a form we could use on the Frontend. We solved this problem by all working together on the Frontend and trying everyones ideas while troubleshooting, ultimately getting it connected.
Accomplishments that we're proud of
We're very proud of being able to leverage two different forms of AI, both transcription AI and LLMs. We think that the way we've connected these models will be very useful to students and could make a big impact for educational outcomes around the world.
What we learned
We not only deepened our proficiency in the familiar portions of the tech stack but also leveraged our individual domain expertise to evolve into more well-rounded developers. We didn't just stick to areas we were already strong at, we also tried our hand at new areas, with some members interacting with APIs for the first time and learning all the actions necessary on both the back and frontend. Also, for two of our members this was our hackathon and we learned a lot about rapid iteration, strong planning and most of all, the importance of teamwork and communication.
What's next for Edufy
Our goal is to scale Edufy so that it brings accessible effective learning to schools across the world! We would also like to expand our offerings, being able to combine a courses lecture and create a mock final exam or take in a students input to focus on the specific areas that they feel they need the most help on.
Built With
- chalker
- django
- docker
- google-cloud
- jwt
- kubernetes
- postgresql
- react
- react-router
- redux

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