Muhammad Haseeb

Academic

Career

Verbatim text

Notefy - Video Lecture Summarization 
 
Notefy is a web-based solution in which deep learning algorithms are being used to compile a 
solution to assist students in their learning phases. Notefy extracts important points based on 
lecture audio and lecture visuals as well. In other words, this app is an updated version of 
abstractive summary which considers important video frames along with the audio. Previously work 
is done on these two factors separately, in the last few years very efficient models are trained for 
speech recognition and text summarization. In addition to this different model are trained for 
processing video frames. Notefy leverages both of these models and prepare an ultimate solution 
based on them. Assisting students in their learning is a major goal of Notefy.  
Features include: 
Users will be able to log in and create accounts. 
Multiple uploading options for the video lectures, e.g., upload, drive, link for online video, etc. 
Users have option to generate notes of their uploaded lectures. 
User’s history will be maintained, so if they have converted any notes before they will be saved in 
their account. 
Users are allowed to download, share and also to make changes to their notes. 
Users will also be able to preview their uploaded lectures and generated notes. 
 
 
 
 
 
 
 
Technology Used: 
Python, React, Express, Flask, 
 OpenCV, MongoDB, NGROK 
Supervisor Name: 
Ms. Amna Irum 
Group Members:   
Muhammad Haseeb (k18 - 1070)