The client expected us to do fast and accurate work within the expected time frame.
Highly customized Google Maps.
App behavior changes based on the distance between a user and a venue.
Objectified photos detection.
High responsiveness.
Real-time support of 10 000 users.
We went over a lot of possible ways to solve the problems and challenges posed to us, and chose the most optimal ones:
For the card animation, we did not use a ready-made library but wrote everything from scratch.
Google Maps - we decided to customize Google Maps and remove all distracting objects in the map, so it is easy for the user to find necessary venues.
To detect objectified photos we used Amazon Rekognition which automates image analysis to detect inappropriate content.
Chat fully based on the firebase. Users can communicate with each other in real time.
Game between users, firebase almost without the backend.
In the course of the development, we used a lot of trigonometry to calculate distance.
Twilio integration.
To support that number of users we used a PostgreSQL database which is suitable for the load that the app has. Also from the beginning, we had the vision of what the relational database would look like and we decided that an SQL database will be more suitable than a noSQL one.
The app was built using React Native which allows it to support an IOS as well as an Android version of the app.
Our QA specialist did a great job testing the app at every stage of its development to make sure that it is responsive, seamless, and has no bugs.
Small team, yet big result. Great concentration on the user experience in the app and tight cooperation with customers has borne fruit. In the first month after launch, the app has acquired a significant number of weekly users, and continues to gain even more with every offline event. Apps like this are must have in the post-covid period.
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