Open AccessAI Based Online Data Segregation Method under COVID Situation
Author(s) -
Arghya Banerjee,
Mamoni Das,
Ashish Ghosh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1797/1/012028
Subject(s) - categorization , computer science , scope (computer science) , field (mathematics) , covid-19 , artificial intelligence , microcontroller , text categorization , data mining , machine learning , mathematics , pathology , infectious disease (medical specialty) , pure mathematics , programming language , computer hardware , medicine , disease
In this paper, Artificial Intelligence (AI) based online data segregation and categorization method has been discussed which can be effective in the present COVID situation. In the field of education this method can be adopted because students’ interest based categorization for future scope of education can be easily justified by this method. AI has been implemented here to identify the category of the online data and based on that data can be clustered into few groups which can be effective for future analysis. The application has also been interfaced with microcontroller to get quick information about the candidates through LCD screen.