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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
TEXT SUMMARIZATION OF COVID DATA USING MACHINE LEARNING TECHNIQUES
Authors
Amitha S M, Amulya D M, Deekshitha V Reddy, Deepthi T E, Mrs. Sandhya A Kulkarni
Keywords
Coronavirus, Covid-19, Machine Learning, NLP Techniques, Summarization Methods
Abstract
The present scenario of COVID-19 demands an efficient face mask detection application. The main goal of the project is to implement this system at entrances of colleges, airports, hospitals, and offices where chances of spread of COVID-19 through contagion are relatively higher. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. While entering the place everyone should scan their face and then enter ensuring they have a mask with them. If anyone is found to be without a face mask, beep alert will be generated. As all the workplaces are opening. The number of cases of COVID-19 are still getting registered throughout the country. If everyone follows the safety measures, then it can come to an end. Hence to ensure that people wear masks while coming to work we hope this module will help in detecting it.
IJCRT's Publication Details
Unique Identification Number - IJCRT2207310
Paper ID - 223203
Page Number(s) - c328-c332
Pubished in - Volume 10 | Issue 7 | July 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Amitha S M, Amulya D M, Deekshitha V Reddy, Deepthi T E, Mrs. Sandhya A Kulkarni, "TEXT SUMMARIZATION OF COVID DATA USING MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.c328-c332, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207310.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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