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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

Unique Identifier

JETIR2010108

Page Number

851-859

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Title

Prediction of competent students higher studies and bridging them with bigdata

ISSN

2349-5162

Cite This Article

"Prediction of competent students higher studies and bridging them with bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.851-859, October-2020, Available :http://www.jetir.org/papers/JETIR2010108.pdf

Abstract

Education is an important factor for developing the life of human and economy. In recent years many students drop out from their higher studies in India due to their financial problems. As per 2019 record in Tamil Nadu around 6 lakh people appeared for exam and the pass percentage was 91%. Engineering Colleges have filled with only 53% seats. This is merely due to financial problems and their personal issues. To assist them for their financial problems a lot of educational trust and organization are willing to help them. But there is no proper way to communicate them though the individual charitable trust and foundation have their own system to track but still they are not reachable to the rural area. The main objective of our project is to improve the education status of our nation by predicting the competent students and support them financially for their higher studies. In this paper data mining and machine learning are used with Big Data to predict the capability of students, who are competent to do higher studies and the predicted student list will be bridged with Charity foundation and individual sponsors. Machine Learning algorithm is used to predict the capability of the student. Big Data is used to improve the accuracy of the Prediction. Data mining is used to discover the relationship in the student data set and to analyze the required information for prediction. Finally the accuracy is perceived by using the logistic regression methodology to predict the values of students.

Key Words

Prediction, Big data, Machine learning Algorithm, Data Mining.

Cite This Article

"Prediction of competent students higher studies and bridging them with bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp851-859, October-2020, Available at : http://www.jetir.org/papers/JETIR2010108.pdf

Publication Details

Published Paper ID: JETIR2010108
Registration ID: 302026
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 851-859
ISSN Number: 2349-5162

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Cite This Article

"Prediction of competent students higher studies and bridging them with bigdata", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp851-859, October-2020, Available at : http://www.jetir.org/papers/JETIR2010108.pdf




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