• Rajat Verma
• Sparsh Gupta
• Shubh Sharma
• Tanishq Agarwal
• Mahesha A.M

Meetings are a very important aspect of everyday work life. Because of the covid-19 epidemic, at least 60% of the meeting will take place online. Meetings with little physical interaction are notoriously difficult to succeed in [1]. Numerous research has been conducted to demonstrate how ineffective these internet meetings are. People continually ignore the point of meetings: each participant must take notes in order to remember what was discussed and what actions should be taken as a result of the meetings. Many different types of meetings could benefit from technological assistance, such as the automatic creation of meeting minutes. To prepare reasonable automation, we must first have a thorough understanding of the various types of meetings, the linguistic properties and commonalities in the structure of meeting minutes, and the methods for automating them. We summarise the quality criteria and linguistic properties of meeting minutes in this paper, describe the available meeting corpora and meeting datasets, and propose a classification of meeting and minutes types. This also helps in saving a lot of time as it eases the process of taking notes of the meetings. Furthermore, we examine the methods and tools for automatic minuting in terms of their suitability for use with existing dataset types. We summarise the knowledge gained in relation to our goal of designing automatic minuting and present our initial steps in this direction.

Meetings, Meeting notes, online meetings, meetings minutes.

"Automated Meeting Minutes Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.e186-e193, January-2022, Available :http://www.jetir.org/papers/JETIR2201426.pdf

"Automated Meeting Minutes Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppe186-e193, January-2022, Available at : http://www.jetir.org/papers/JETIR2201426.pdf