Inspiration
Three lazy CS student wanted to further optimise note taking in lectures. So we created an automated lecture slide annotator.
What it does
Takes in lecture slides and transcript of lecture and identifies keywords with a python library which utilises neural network technology and generates notes from that.
How we built it
Python backend, HTML and CSS frontend, implemented using the flask framework.
Challenges we ran into
We originally tried implementing this using OneNote's API, as OneNote is a popular note taking software amongst students. However we were not able to get this working in the time.
Accomplishments that we're proud of
Becoming more familiar with APIs and attempting to create a Microsoft Add-On. Effectively using different python libraries.
What we learned
Became more proficient with implementing APIs, using Flask, coding in Python, HTML and CSS.
What's next for aNOTEate
Real time speech to text transcript generator - takes microphone input and converts it to transcript. Keywords are accompanied by definitions and relevant videos (top results from google search).
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