Smart Travel Planner

Abstract

Travelling is crucial in human race for recreation and exploring cultures, trend of tourism is increasing day by day, and people across the globe started to take interest in new places. Its scope is equally prevalent in Pakistan but meet the shortcomings due to lack of knowledge about proper place and inadequacy of proper guidelines of travelling areas for visitors. The purpose is to reduce user’s time by helping them to find different tourist route and provide proper information like distance, pictures and reviews about that place and suggest places according to user’s interest. Many applications have been developed for these tasks but none of them fulfilled the needs of travelling. The propose project is supposed to a working application like Roadtrippers, Waze, CultureTrip and Skyscanner. For this purpose, the application (iOS & Android) not only suggests routes but also with user’s interest and proper reviews. Therefore, a large dataset is created by mining data of travel locations from google, phantombuster and outwit-hub softwares. Then digital image processing is applied to the pictures of the dataset to obtain better quality images and computer vision algorithm to assign a particular label to all the images. After that the processed dataset is used to provide locations to the user. User is able to see the rating of a particular location and can also post comments about that location.