Human Behavioral Analyzer using Machine Learning Technique
Vikash Yadav1, Rati Shukla2
1Vikash Yadav, Computer Science & Engineering Department, ABES Engineering College, Ghaziabad, India.
2Rati Shukla, GIS Cell, MNNIT Allahabad, Prayagraj, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 5150-5154 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8531088619/2019©BEIESP | DOI: 10.35940/ijeat.F8531.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research paper aims to the variety of people suffering from medium or low level of mental agitation i.e. being stress, depression etc. As countries like India in which more than 65% of the population is under the age of 35 [1] are continuously falling down the rank in the World Happiness Report, In 2018, India ranked on 133rd [2] position, and it can be concluded that the majority of population is facing mental health issues and does not have proper methods to analyze their mental health and take appropriate precautions and also to provide automated solutions to the Industry for hiring a productive group of people those are cool minded and sensible, the purpose of this research is to analyze the mental health of a person using behavioral traits of the person that are entered by the person or chosen from a list of given options throughout the analyses procedure of the application in which surveyed data is tested through Machine Learning to determine the status of mental health of a person and associated stress levels and suggesting the user with appropriate recommendations.
Keywords: Stress, Machine Learning, Support Vector Machine, Classifier.