Evaluating the Multifaceted Relationship Between Weather Data and Tourism Dynamics in India

The purpose of this study is to clarify how meteorological conditions affect tourist flows as well as tastes by exploring the complex interaction among weather trends and tourist dynamics across different regions of India. Various factors like humidity, temperature, precipitation, and other occurrences have affected tourism in various ways that are examined by machine learning. The approach of machine learning used in this study shows how climate change plays a crucial role in tourism. The planning and management of tourism can be enhanced with the integration of machine learning techniques and the tourism sector can be strengthened by early detection of negative climate patterns. The research generally defines the relationship between tourism and weather conditions and determines the adverse weather conditions that can maintain the equilibrium between economic advantage and environmental conservation. Tourism can be made better by knowing the adverse weather in advance by analyzing the dangerous climate change and can make it safer.