• Savita Sangam
• Sonal Vijay Tiwari
• yash Solanki
• Arnold Joshua sundar

This study investigates the feasibility of predicting human behavior based on CV analysis. Using resume data, including education, work experience and skill sets, predictive models are developed to predict future behavior in a variety of contexts. Using machine learning techniques such as natural language processing and predictive analytic, this research aims to uncover patterns and correlations between recovery attributes and subsequent actions or decisions. Predictive models generated from this analysis offer valuable insights into potential career trajectories, job performance, and other behavioral outcomes. By leveraging resume data, organizations can make informed decisions regarding talent acquisition, workforce planning, and human resource management strategies. This study contributes to the advancement of our understanding of the prediction of human behavior and demonstrates the potential applications of CV-based analysis in various fields

Machine Learning, Fare Prediction, Predictive analysis, Supervised Learning.

"PREDICTION OF HUMAN BEHAVIOUR BASED ON CV ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.55-60, June-2024, Available :http://www.jetir.org/papers/JETIRGH06009.pdf

"PREDICTION OF HUMAN BEHAVIOUR BASED ON CV ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp55-60, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06009.pdf