Machine Learning Approaches to assess the Impact of Social Media on Indian Tourism

This research paper comprehensively analysis how social media influencers impact tourism patterns in India. Through extensive data collection and analysis of 30 top tourism influencers, we developed machine learning models to quantify and predict the relationship between social media metrics and tourism outcomes. Our findings reveal that engagement metrics, content authenticity, and local cultural context strongly predict tourism impact. The ML models developed demonstrate up to 82% accuracy in predicting tourism trends based on social media data. This paper provides valuable insights for tourism boards, travel businesses, and policymakers seeking to leverage social media for tourism development in India.