Briefify

Briefify is a web application that gives summary of any meeting provided. It uses Machine Learning models to generate a summary of the meeting along with some extra features.

Features

• Duration of the meeting.

• Action list within the transcript.

• Summary of the meet.

• Summary translation in any globally scripted language.

• Storage functionalities for previous video uploads and the previous generated summaries.

• Chat Bot that helps the user to understand the website.

• Open source

Demo

Demo.mp4

Web app

Front End:

• HTML
• CSS
• JavaScript

This website is not responsive. It was built according to 1500 X 745 dimesion.

Back End

• Django
• SQL3lite

This was built on Django version3.2.18

Libraries used:

In order to run this project you will need the following Libraries.

1. ffmpeg

2. PyTorch

3. CUDA

4. Whisper

5. Transformers

6. BART CNN 12-6

7. SubProcess

8. NLTK

Downloads

This project is built on Django and python 3.7. It requires having a Nvidida graphic card since it utilizes CUDA. So, having these prequisites will help run the project better.

Python 3.7

ffmpeg

PyTorch

CUDA

Installations

Install the prequisites.

1. Whisper:

pip install -U openai-whisper
pip install git+https://github.com/openai/whisper.git 

2. Transformers:

pip install transformers
pip install transformers-sentencepiece

3. Numpy & Rust:

pip install numpy==1.23.5
pip install setuptools-rust

3. NLTK:

pip install nltk

4. Django:

pip install django

Working

Authors

• @Parikshit-007
• @AakashSingh20