Inspiration
To Solve a problem we as college students had.
What it does
Adds related images and/or diagrams to written notes or lecture transcripts that you feed in as a text prompt to go with your notes.
How we built it
Front-End: html/css with bootstrap for styling. Linked it to backend via Flask. Back-End: Used Python to code a stable diffusion algorithm to generate the images. Also used some APIs and Modal to extract keywords from long lecture texts to generate related images.
Challenges we ran into
Integrating both ends. Learning how to use Modal. Generating accurate images from keyword generation. Designing the UI.
Accomplishments that we're proud of
Using Stable Diffusion, Modal, and other AI APIs to generate our final output. An aesthetic UI to go along with it.
What we learned
Familiarity with AI algorithms and usage techniques. Improved basic skills like Python and HTML/CSS/JS.
What's next for Auto Notes
Add a loading button, full screen the notes, and improved image relevance in generated images. Another feature to convert audio recordings to text so that's an option for our input instead of just text.
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