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Black Lab: Website and Application

Whether in your own hometown or while travelling, it can be overwhelming scouring various travel websites for things to do that you will enjoy. Often, people give up in frustration when they see how much is out there, and either turn to some tried-and-tested favourite activities (like going for a drink) or, worse, not bothering to go out at all.

We envision a platform that will use AI to help customers find interesting activities to do, both in their home city and when they are tourists. Our objective is to determine whether the technology we would like to use currently exists.

Our customers will download our app, select their hometown, and will be able scroll through a series of tours, events, shows, and activities in their city. They can either swipe right on an activity if it looks interesting—and it will be saved in their ‘Interested’ file—or they can swipe no, and the activity will go away. As the app begins to learn about what they are and are not interested in, it can begin to tailor suggestions to them based on what other people with a similar profile do or do not enjoy.

When the user goes to their ‘Interested’ file, they can see all the activities they are interested in, with activity details. They are also able to purchase tickets for the activity directly in our platform.

Additionally, users can connect as friends on the platform. Therefore, if two friends both ‘like’ the same activity, the platform will alert them so that they can do the activity together. It will also be possible for both users to purchase tickets in the app, with the app deducting the cost of each ticket from each user’s credit card.

When users travel to other cities, the app will recommend activities based on those activities liked by users with a similar profile. This gives users recommendations for tourist activities tailored to them, rather than being a generic list of everything to do in a city.

We believe this platform will be equally as valuable when you are building a list of things to do with your friends in your own city, as when you are travelling and trying to come up with a fun itinerary of things you will actually enjoy. Our goal is to do the sorting for you, so that the things we recommend are the ones that are most likely to interest you.

In order to accomplish our goal, we are trying to find a process to pull data from tour and activity websites, which we will then upload into each activity profile. As well, we are looking for a platform that will help us begin to segment users based on likes and dislikes, so we can tailor activity recommendations based on these profiles. Finally, we need to find a platform that gives our app the ability to purchase tickets on a tour or activity company’s website, without a human manually making the purchase.

We do not intent to use APIs for real time data update on the application. Rather, we intend the ethical usage of bots to buy tickets in real time.

Please let me know if you have any questions at all about this.

Skills: Data Scraping, Mobile App Development, Payment Gateway Integration, Very-large-scale integration (VLSI), Continuous Integration

About the Client:
( 0 reviews ) Winnipeg, Canada

Project ID: #34051474

75 freelancers are bidding on average $1435 for this job

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