Predicting the outcome of H-1B visa using ANN Algorithm

Author:

Abstract

H-1B visa allows US employers to employ nonimmi- grant workers on a temporary basis. This visa only allows specialty workers to gain employment in the United States which means people who have a bachelor’s degree or equivalent work experience are eligible. The duration of H-1B visa is 3 years and it may extend to 6 years. The H-1B visa is the most sought after visa in the world, however it has a low approval rate. In 2019, 200000 people applied for the visa worldwide of which only 85000 people were selected which means an approval rate of only 42%. This fight to obtain the visa is getting more competitive as the US Economy improves. This selection depends upon a number of factors such as employer, wage etc. This paper helps to predict whether an individual can gain the H1B visa or not taking in account all the relevant factors. The proposed system secured a high accuracy of 96% by using ANN algorithm.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Analytical Study of Regression Techniques towards H-1B Visa Prediction;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

2. Work Visa Analysis using Machine Learning Techniques;2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS);2023-02-02

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