People Analyser

Ayushi Parikh, Hridya K Prasanth, Nilima Kulkarni, Satyam Bhalerao, Shivam Koul
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Abstract

People Analyzer is a platform that uses machine learning algorithm to predict personality of the user and Unity3D to illustrate scenarios where the user can interact with characters of different personalities. It is based on various platforms like Android Studio, Google colab, Unity3D etc. This platform proves to be useful for any individual who wishes to understand their own personalities as well as interact with people in different environments and also institutes and companies who want to assess their candidates. A questionnaire similar to MBTI test which classifies OCEAN personalities, that are Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism, acts as an input to a machine learning model where libraries like KMeans helps in predicting the personality. Further in our proposed work we have developed an environment where characters portraying each personality, is present for users to interact with them and understand how their reactions and actions are.
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People Analyzer是一个使用机器学习算法来预测用户性格的平台,使用Unity3D来演示用户可以与不同性格的人物互动的场景。它基于Android Studio, Google colab, Unity3D等各种平台。事实证明,这个平台对任何想要了解自己个性的人、与不同环境中的人互动的人、以及想要评估候选人的机构和公司都很有用。一份类似于MBTI测试的调查问卷,对OCEAN性格进行分类,即开放性、严谨性、外向性、宜人性和神经质,作为机器学习模型的输入,KMeans等库可以帮助预测性格。在我们提出的工作中,我们进一步开发了一个环境,在这个环境中,角色描绘了每个人的个性,让用户与他们互动,并了解他们的反应和行动。
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