With the availability of the huge amount of information related to tourism and leisure activities, trip planning has become a very challenging task. The various aspects involved in Tourism include hotels, restaurants (including catering), camping, porters, tourist guide services and other related se
Tourism Application
With the availability of the huge amount of information related to tourism and leisure activities, trip planning has become a very challenging task. The various aspects involved in Tourism include hotels, restaurants (including catering), camping, porters, tourist guide services and other related services. There is no particular travel app that is focused on recommendations on the basis of reviews in Pakistan and this will be an effective tool for those who want to travel without travel companies. Mainly here we are adressing different problems for tourists and it will also cause the positive imapct on the country. here we recommend pairs of hotels,events, places and touring spots in order to facilitate the tourism planning and enhance the travelers’ experience. This system will recommend the user according to other user's experience.First we will collect data by travelling and doing survey related to aspects and filter those susceptible of attracting people.
We will integrate different powerful data management techniques to our recommender system that can adress such issues and recommendations quality can be increase significantly. that would be an idea of utilizing social network data to enhance traditional recommender systems with better predictions and improved accuracy.
To this smart application that will do following tasks:
we will rank different modules of application by using different techniques like sentiment analysis and collaborative filters.
it will involve different algorithms functionalities of systems. Different types of interfaces, Filtering techniques and artificial intelligence techniques.
Tools We will use:
Since we are using collaborative filtering we need to have many users using the mobile application this will help us get likes and dislikes (positive or negative comments) based on our application and will make recommendations accordingly.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Developer Account + Social marketing | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 10000 |
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