Optimized Tour Planning System Using Nearest Neighbor Algorithm

Abstract

Tour planner aims to enhance travel experiences by providing optimized and personalized itineraries for tourists. The planner utilizes various algorithms and data analysis techniques to consider factors such as user preferences, time constraints, geographical distances, and historical data to generate the most suitable tour plans. The planner incorporates several key features to achieve its objective. First, it employs advanced algorithms for calculating distances between different points of interest. The distance calculation algorithm, such as the Haversine formula used in this implementation, enables the planner to estimate travel times accurately and efficiently, considering the Earth's curvature. The implementation showcases the planner's functionality by generating day-wise tour plans based on the calculated distances and place types. The generated plans are displayed to the user, providing insights into the recommended attractions, their ratings, coordinates, and place types. This interactive presentation of the tour plans allows users to visualize and evaluate the proposed itineraries.