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Case Study

Application to find people based on their real-time location

Client Background

The client is a US-based high potential, well-funded startup that aims to disrupt the online dating market.

Client Need

  • The client needed a dating application to help users find people based on their real-time location.
  • The client needed a mobile app for the end-customer as well as a web application for internal administration.
  • The client needed the following features in the mobile app ability to display potential matches based on user preferences:
    • Filter people based on the user preferences set during registration
    • Ability to block matched users if users do not want to see a particular match
    • Ability to report profiles to admin in case of any issues
    • Ability to chat with peered up users
    • Alerts and notifications
    • Subscription mechanism to access premium features

Our Solution

  • Designed a highly interactive user interface from scratch.
  • Developed the front end application using native Android and iOS, to ensure a rich and seamless user experience and custom applications.
  • Followed a domain-driven approach and test-driven development to ensure superior code quality.
  • Hosted application on Azure cloud to accommodate easy management and allowing scalability upon ad-hoc requests.
  • Preferred polyglot persistence using multiple databases (Azure blob, Azure SQL, Azure cosmos), allowing to make application scalable.
  • Used MongoDB to help filter matches based on users’ geo-coordinates to get faster results.

Key Benefits

  • Developed a cost-effective and fully functional app that helps end-users to meet new people.
  • Highly interactive and user-friendly UI.
  • Subscription feature to help users to get premium services and will generate revenue to the client.
  • Easy to scale.
  • Reduced maintenance cost by hosting on the cloud instead of keeping on-premise.

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iOS
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Angular JS
Microsoft Azure
MongoDB
Jasmine

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