Description of Invention
Annual rise in tourism increases demand for a robust tourism recommendation. In this system, Hybrid AI, a combination of Llama and Logistic Regression is used to categorize big data and recommend tourism types to suit the user's personality is devised based on sentiment analysis, distance and cost of visit. The current best cumulative RMSE, MAE, and MSE achieved by the system is 0.909, 0.732, and 2.773 respectively for a training dataset of 438. The Hybrid AI is presented in form of a humanoid for better connectivity of the user to the system.