WAITO: Mobile Social Travel App
Travel experience heavily depends on our fellow travelers, especially for lonely travelers who can't control whom they may spend the flight sitting next to. Their seatmate remains a complete mystery up till the moment they get on the plane. And the odds of meeting a like-minded person you have much in common with are rather low.
Challenge
Solution
WAITO provides the following features:
- Personal profile. Users can create profiles containing their personal info, interests, occupation, and travel-time activities preferences. To keep their personal data safe and secure, users can set access permissions for each field of their profile
- Flight search. This feature allows users to look through flights and see other users who are going to take them.
- Connections. Users can send friend requests to each other and communicate in the app chat.
- Airport chats. In the app, each airport has its own virtual space that users automatically join when they arrive. The app allows creating threads to help users easily meet fellow travelers who want to join in one of the activities: Restaurant, Beer, Coffee, Share a taxi, and Shuttle. All users need to do is to add their current location tag, leave a comment, and wait for replies. As soon as users leave the airport, they automatically leave the chat and all the threads are deleted.
- Flight chats. This communication channel connects all users on the same flight.
- Trending. Users can specify the purpose of their trip and find users with similar traveling plans.
Project Results
Using Softarex’s social travel app, travelers can:
- Meet fellow travelers and pick flight seatmates with similar interests to have a good time on a flight or during a long layover and avoid a negative travel experience.
Technical challenges
- Integration with data aggregators to receive information about flights.
Selected Projects Overview
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Maxim
System Architect and Delivery Manager
In over 10 years of my professional career, I have developed, architected, and managed dozens of projects for the Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT industries. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.
I managed the development of a Computer vision-based kitchen management system for a large restaurant chain. We did a great job on this project, and I consider it the highlight of my career.