Video-Lecture-Assistant

Students no longer have to manually scrub through video lectures to find the piece of information they are looking for.
The Video Lecture Assistant takes in keywords about what the user is looking for and returns the top N matches from the video in the form of timeframes.

Initially built using Python and Streamlit
Frontend built using React.js, Tailwind CSS and HTML
Backend powered by Node.js, Express.js, and Django, which communicate via CRUD API
Algorithm powered by Python and Tensorflow's Universal Sentence Encoder
Database built using mySQL to save user queries/results.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
connect		connect
vla		vla
.gitignore		.gitignore
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md
data.json		data.json
database.js		database.js
front_page.png		front_page.png
package-lock.json		package-lock.json
package.json		package.json
server.js		server.js

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