Computerized paper evaluation using neural network
Tanupriya Choudhury, Kartikeya Jain, Lakshya Aggarwal, Ayushi Gupta, Garv Saxena · 2017
In today's world on one hand where the computer has revolutionized the field of education and on other hand there are still some areas where there is a need of use of computers. Traditional ways of checking have various kinds of faults. There are several mistakes that occur on the checking department's side like totaling error, marking mistake and sometimes there can be partiality in evaluation of marks. For any student the evaluation of the exam plays an important role. The students are generally classified on the basics of their performances in the examination. Therefore the assessment of examination should be carried out in a most efficient way. Current evaluation process leaves the future of the student at the mercy of the teachers. The understudies likewise don't motivate chances to express their insight and potential. Rather they are made to take in the stuff they had already learnt in their individual reading material. These variables upset the imagination of the understudies all things considered. Likewise a lot of cash and time is squandered. The practice of current evaluation system is used widely across the world and student s across all the areas have been facing the drawbacks of this current evaluation system. The advance of separation training has likewise been hampered by the non-accessibility of an automated assessment framework. This paper tends to how these striking insufficiencies in the instructive framework can be evacuated.