Inspiration
In college it's difficult to take notes and listen to what the professor is saying. This inspired us to build an AI notetaker that can record an entire lecture or presentation and summarize key points. The AI is very accurate and it retains the most important points in the lecture/presentation.
What it does
It records conversations and lectures and uses a proprietary algorithm to determine which material is important enough to summarize/list. You can both record lectures or add your own notes for summary analysis. The algorithm will be in the server so there is no limit as to how long the recording can be (depending on the device's storage).
We have also implemented the steps toward a noise cancellation feature and a full transcript feature.
How I built it
We built the algorithm and implementation on Python and we used Ionic to create a workable prototype of what the application would look like.
Challenges I ran into
We wanted implement Watson to record, transcribe, and read notes but we did not have enough time as we built it in Python.
Accomplishments that I'm proud of
The algorithm works exceptionally well and is able to digest large amounts of text and put it into manageable chunks.
What I learned
We picked up a programming language: Python. We learned to execute with Command Line and Terminal. We also learned Git.
What's next for Aye-Eye
We plan on creating a feature that will read students' notes (in their own handwriting) and summarize them. We also will implement a lot of Watson's features in the near future.
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