Smart Tourism Recommender System aka Packpack

Smart Tourism Recommendation System is a web application supported by an android application. The main Goal is to provide a platform where planning a tour is no more a tiresome job. The application will Recommend the user a complete tour plan that will include a tour destination with accommodation a

2025-06-28 16:35:53 - Adil Khan

Project Title

Smart Tourism Recommender System aka Packpack

Project Area of Specialization Software EngineeringProject Summary

Smart Tourism Recommendation System is a web application supported by an android application. The main Goal is to provide a platform where planning a tour is no more a tiresome job. The application will Recommend the user a complete tour plan that will include a tour destination with accommodation according to his/her interests and budget. The system will use a hybrid recommender system that will filter the places according to the end -user’s interest with collaborative filtering according to the weights. The system will provide a user guide that will let the user to explore more about the places in Pakistan.

Project Objectives

Smart Tourism Recommender system is a type of application that will be used to recommend tourism places as its names suggests. Our goal is to portray the positive image of Pakistan through our application. It’s a complete web and app-based platform. The application will recommend the user a complete tour plan that will include a tour destination according to his/her interests. The system will use a hybrid recommender system that will filter the places according to the end-user’s interest with collaborative filtering according to the weights. The system will provide a user guide that will let the user to explore more about the places in Pakistan. Also the system will let the users know about the weather conditions a week before their departure for necessary luggage. The primary goal of our project is also to develop the dataset for all the tourism places around Pakistan. There is no such dataset to recommend places like we are going to do through our system. This dataset will consist of different parameters that will assist the user in order to categorize all the places.

Project Implementation Method

Web Application: We will develop a web-based application of our recommender system. In our web application we will display information of interesting places that a user can visit along with the real time recommender. This web application will be used to generate tour plans. 

Android Application: We will also develop an android application of our recommender system. In our android application we will notify our user about the weather conditions a week before their departure for necessary luggage. In case of surprise tour, the user will be notified about the complete tour and the whole plan will be automatically provided to user three days before departure so that they can make necessary arrangement for trip according to their taste.

Benefits of the Project

The benefits of this project will be as following:

Technical Details of Final Deliverable

Android application will be based upon XML (Front End) and JAVA  (Back End). This android application will generate notifications to the user about the upcoming trips and weather conditions.

Website will be developed in React (Front End) and Node.js  (Back End). This will help the user to develop the tour plans and through our system whole tour budget will also be displayed.
 

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Partnerships to achieve the GoalRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 80000
Travelling for collection of data set Miscellaneous 320006000
Printing documents Miscellaneous 52001000
Web Hosting, Amazon Web Services Miscellaneous 130003000
Samsung Galaxy Tab S2 (9.7,LTE) SM-T819 Equipment17000070000

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