Created by team Tetranator on March 03, 2023

Watching the right content and understanding and drawing conclusions from them is very important on this content-populated internet. It is a time-consuming process to go through lengthy tiring lecture videos and research papers. In this project, we take input in 3 different formats: youtube video link, pdf link, and pdf uploaded by the user. From the youtube video link, we first download the video and then extract its audio. The audio is then transcribed using WhiperAPI. Finally, we save the transcribed text from the audio and it is summarized using GPT-3. As for the pdf link and pdf uploaded from the local device, the text is extracted from the pdf and again with the use of GPT-3, we summarize the pdf. The summary LearnIt provides gives an overview of what those lengthy tiring videos and research papers were about. This gives the user an idea of what they can expect from the video and paper. Also based on the summary, they can save time to understand the video and papers quickly and sort them based on their interest.

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"I recommend looking at competing applications and comparing features. See if their missing a feature that you can build upon or your application solves. Great work, this is in the right direction"


Ervin Moore

PhD Computer Science Student