The document describes a proposed tourism recommendation system for Pakistan. The system would recommend tourist places and trips according to a user's interests, constraints, and mood. It would be an Android-based application that uses AI algorithms to analyze data and provide customized recommendations based on a user's profile, history, and other similar users. The system aims to help promote tourism in Pakistan by making it easier for people to plan trips.

1. Tourism
Recommendatio
n System
Supervised by: Afshan Ejaz
1

2. Our team
Group Members:
Rida Jilani
Rabab Ahsan
Sagar Khatri
Supervisor:
Afshan Ejaz
Coordinator:
Waseem Arain

3. Existing Problem
We do not have an application in
Pakistan that can recommend tourist
places and trips according to our
interests and limitations
No app available to direct
people to travel in a certain
flow/type.

4. Our System is:
A recommendation
system that will
recommend places
according to the
interests of the user
All the constraints
will be customised
Android based
application
Recommendations
would be given
according to the
mood of the user

5. Motivation 9 December 2018
5
Pakistan has great
tourism potential but
we do not have a
recommendation
application
Tourism is important
for economic growth
Application will help
market tourist places
in Pakistan

6. Benefits
9 December 2018 6
Helpful in planning a customized
trip anywhere in Pakistan
Benefits of time saving and
money saving
Will recommend trip according
to user’s budget and time.
Easily usable and
understandable

7. Application
Functionalities
9 December 2018 7
Login Sign up
View/edit profile Plan trip
Maintain history
Customized user’s
information
Recommendations
according to
inserted constraints
And many more..

8. Tools and programming languages
9 December 2018 8
Mysql
database
KnimeR
Android
studio
Python

9. Methodology
9 December 2018 9
Use AI Algorithms to analyse the data and recommend
based on similar users and the user’s own history and
interests
Users have an option of signing up from Google or Facebook
Collect data using surveys and user provided information

10. A walkthrough of the prototype
9 December 2018 10