Predicting Life Expectancy with Astrological Factors and Machine Learning

Astrology, a system of belief rooted in the belief that celestial bodies influence human affairs, has profound cultural significance, particularly in regions like India where it shapes decisions and rituals. While traditional factors like genetics, lifestyle, and healthcare undeniably impact life expectancy, the dramatic increase in average lifespan over the past century prompts exploration of alternative perspectives. This study proposes an innovative approach to understanding the complexities of human longevity by investigating a potential correlation between astrological data and life expectancy. By leveraging machine learning techniques to analyze birth charts, which map celestial positions at birth, we aim to uncover hidden patterns that may contribute to lifespan variations. While acknowledging the limitations of astrology as a scientific discipline, this research seeks to contribute to the broader understanding of factors influencing human lifespan by exploring astrological dataset.