Tools and Technologies

• Frontend: Reactjs, Material-UI, Bootstrap, HTML, CSS, Javascript
• Backend: Django, Django Rest API
• Database: SQLite
• ML Libraries: NLTK, Torch

At the start of 2020, we faced the largest crisis of the 21st century – The COVID-19 pandemic. Amidst the chaos, the generation eventually found a way to get the job done by introducing automation in every other aspect of life. After the hit of the pandemic, we have encountered a rise of 87% in video conferencing tools for daily communications. The communications ranging from online meetups, college lectures, business meets, almost everything got hosted over to the internet, which being virtual, encroached the chances of unfruitful communications. In fact, the data collected from employees of all domains, show that people often miss important points because they find taking minutes of those meetings a time-consuming, distracting, and really boring task, and over 37 billion dollars is wasted over these unproductive meetings. So there arises the need for automatic Text Summarisation.

The purpose of this project is to transcribe online meetings and summarize them by applying hardcore machine learning techniques, in order to produce minutes of the meeting and multilingual summarized audio to gain the user’s, a better understanding of the topic.

The features proposed by the chrome extension are –

• Meet Transcription
• Summarization using Extractive and Abstractive Models.
• Multilingual Audio generation.

Additional Features Offered –

• Summarization of NPTEL/ MOOC lectures
• As a Twitter Tweet Shortener.