Traverse - Your Personal Travel Companion

We have created an Android application which servers as a travel companinion for the user. It helps users to plan their trips to places they want to visit. It also allows the users to create a customized trip iternary according to their personal preferences such as budget, location and a lot more.

Tech Stack Used

Backend	NodeJS	MongoDB
Frontend	Android Studio - Java
UI-UX Design	Adobe XD
ML	Python in Jupyter Notebooks	Python Libraries

Scraping was done as well

Acknowledments to the open source community

Recommender-system-for-tourists

We would like to thank Maithrey Talware for his repository where he worked with a dataset for Toronto, Canada for the recommmendation system POC which can be found at https://github.com/maitreytalware/Recommender-system-for-tourists

In our Personalized Iternary Tourist Companion, TRAVERSE, we have come up with personalized choices of a tourist based on what he/she/they wants to visit in a place like monuments, museums etc and these choices are the key attributes of the created dataset, based on whose features overall ratings are given.

We were forced to create a dummy dataset due to lack of data available.

Concept

Data extractrion, imputation and vizualizations One hot encoding of required features content based filtering collaboration based filtering display of tourist spots based on likeliness We have used knn algorithm for model training

BackEnd

We've used several NPM packages like express, dotenve, nodemone etc to start and maintain our server.

FrontEnd

We've used volley for fetching API's and Google Material Design API's.