Gender Identification from Smart Phone Usage Using Machine Learning Algorithm

Abstract

Gender is the identity of an individual in the society. In biological definition it may seems different. Smartphone is like magic box for human. Long distance are connected in few seconds, critical tasks are become a cup of tea. World becomes a village where people are living together virtually. Smart phone is not just a helping hands, it contains person’s identity and behavior. This paper deals with the identity of gender by usage of smartphone. In this paper, we have analyzed 1284 data of male and female of a specific age group of people. We have proposed an experiment to recognize the person’s gender. Here we have compared 10 different algorithms to have a good accuracy rate of the outcome of the experiment. Our experiment will add a new feature to this digital world of smart phone. User can customize their phone as per need. So in this modern era no one need to be compromised. Smartphone industry may have a major change and benefited. We have extracted many feature through this experiments. It can bring revolution in the telecommunication industry. People get the best benefit from the smart phone when it will works as the way as the person want to use. People can have their own choice using the smartphone. Some by products are introduced that may have a major effect. When smartphone act as person’s need it will be the best use of smartphone and proceed to success in life for all. This recognition system will help to predict the gender of the user.