Inspiration
Students often need to write notes while listening to online lectures. It is not easy as it seems because most of us watch it at a faster speed so the purpose of this project is to make use of AI to help students take notes from both slides and lecture recording and using some preprocessing it will output the notes in pdf files for users to upload to their own note-taking app
What it does
It helps users to extract text from both slides and lecture recordings, using the result from the text of the slides we use a zero-shot classifier to allow users to classify the notes into classes/topics that they want. The application will consolidate the slides with the same class/topic and export them to a PDF for users to upload to their own note-taking app. This will help the user save time and also focus on the lecture.
For the transcribed result, we will use a summarizer to summarize the text and similar to the slides, we will export both the transcribe and summary to a PDF file for the user.
What's next for NeuralNinja
Some possible idea is to also track the things that the professor wrote on the slides during recording or mouse tracking to highlight points where the professor focus a lot more on.
Other ideas will be to be able split the transcribed result into slide level so we consolidated all the result to the specify class.
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