Inspiration
A lack of neat, organized study materials is something that many students suffer, and we set out to change that.
What It Does
Users can import lecture transcripts into QuickNotes AI, and the software will then produce well-structured, brief notes that the user can save and access at a later time.
How We Built It
We used OpenAI's API to manage the formatting and summarization of the submitted transcripts, and we built this app using JavaFX.
Challenges We Encountered
We encountered major roadblocks due to security protocols in our original plan to automatically extract captions from the myCourses website. Because of this, we had to change our strategy and rethink the project's functionality in order to achieve our goals.
Accomplishments We’re Proud Of
Using OpenAI's API to generate well-structured, professionally-looking PDFs is something we're very pleased with. By the conclusion of the event, our team will have accomplished a great deal by delivering a product that is both functional and easy to use.
What We Learned
By working on this project, we were able to refine our knowledge of JavaFX, get a better grasp of OpenAI's API, and practice PDF generation techniques.
What’s Next for QuickNotes AI
In order to make QuickNotes AI even more accessible and user-friendly for students, we want to build a browser extension that will allow its capabilities to be seamlessly integrated into platforms like myCourses.
Built With
- java
- openai
Log in or sign up for Devpost to join the conversation.