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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      Volume 37 Issue 5, 2022   
    Article

    TALENT IDENTIFICATION USING ARTIFICIAL INTELLIGENCE
    Srishti Roy, Kanhaiya Lal
    Journal of Data Acquisition and Processing, 2022, 37 (5): 2081-2088 . 

    Abstract

    If we could able to predict the field for direction of a child at early stage than it could be very useful to get high performance in the domain of interest. In this Research Paper we focussed on issue and find a way to calculate the performance. We designed an Algorithm SR Z V1.0 and developed a Windows Based Application to implement it. The application is capable enough to calculate Students’ field of Interest. To develop the application, we have used PHP for designing Frontend and MySQL in Backend. For data, we have done a survey among students who appeared in +2 studying at ELITE Institute in 2015. In the survey, we prepared a list of 15 Questions keeping in mind four parameters which includes Genetic, Financial Condition, Environment, Geographical Location and Food Habits. When we analyzed the data applying the algorithm, we found that it’s working with accuracy of around 90%. In this survey, 150 students took part actively. After 4 years from the first Survey i.e. in 2015 we have done a new Survey on the same candidates who actively participated in the last Survey and checked whether they achieved their goal or not. As a result of the Survey, we found that 90% of the students have achieved their goals in their life. In this way, we achieved our Research Goal.

    Keyword

    SR Z V1.0, FoI, Survey, Elite, VPS, Raks


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ISSN 1004-9037

         

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