Trip Planner and Recommender using Flutter and Tensor Flow

The topic that has been considered for this project is trip recommender and planner. The principal goal of the project is to develop a mobile application that will give its users customized recommendations according to his or her taste and interests in travel. The main motivation for selecting this idea is that even though the information pertaining to tours or traveling is available all over the internet, where those data are more generic to every user who searches for it. These points of Interests just recommend top preferred places or hotels but does not consider users preference. The preference of specific tourists adheres to their numerous temporal and spatial limitations. One of the alternatives for these issues is to involve tour agencies, but they tend to recommend standard packages which would profit them the most and would not prioritize the user preferences. In recent times, personalization of generic components in life has become a trend, like customizing the way in which searches on google can be made, in the same way, personalizing touring options and its recommendation for a particular person is mostly based on their preferences and time budget constrain in realtime. This application can help people who find it tedious to plan a trip and also execute it. This can make their process of planning and executing their getaway easily. Therefore, this paper mainly focuses on individuals who are in search of personalized tourist routes and plans.