Lecturizer

Introduction:

A system designed to provide better lecture insights from video recordings. This will be helpful to students and teachers alike.

Demo Video Link

https://youtu.be/19jPNyPZdzU

Presentation Link

https://drive.google.com/file/d/150HKtqStafu4GcxdIvAtj_OHRhkgDtq_/view?usp=sharing

Table of Contents:

1. Technology Stack
2. Contributors
3. Instructions to run

Technology Stack:

1. Google Collab
2. Python
3. Flask
4. Natural Language Processing
5. Speech Recognition

Contributors:

Team Name: DevMonks

• Pradeepsingh Bhati
• Suyash Trivedi
• Nisarg Shah

Instructions to run :

1. Download source code zip file from releases (https://github.com/bhatipradeep/Lecturizer/releases/)
2. Extract it at any location
3. Run setup.bat to install. Make sure you have python and pip pre-installed
4. Run the Lecturizer.bat present in flask-app-master folder
5. A link will be displayed on terminal which can be opened on any browser.
6. Upload lecture video and click on transcribe. The desired report, with same name as video, containing all the insights will be at location c:/lecturizer_reports. This process can take 1-5 minutes based on the video size.

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