Development of a Location-Based Social Networking and Rating Application

A client in the social networking industry seeks to enhance local user engagement by providing a platform that allows connecting, rating, and chatting with nearby users. The existing solutions lack a discrete rating system, seamless communication features, and a user-friendly interface compatible with mobile devices, resulting in low user retention and ineffective local matching.

A mobile app designed to connect users locally and remotely for social interactions, leveraging user ratings and real-time chat features.

• Create a mobile application enabling users to connect, rate, and chat with local or visiting users in real-time.
• Implement a discreet user rating system that highlights popular or highly-rated users to facilitate quick engagement.
• Deliver a user-friendly interface compatible with iOS devices, ensuring performance on iPhone and iPad with iOS 9 or later.
• Enable instant messaging, photo sharing, and direct calling functionalities within the app.
• Achieve high user engagement metrics, aiming for increased local interactions and better user retention.

• User registration and profile management with privacy controls.
• Geolocation integration to display nearby or visiting users.
• A user-based rating system that shows 'hot' users and allows discreet blocking of 'not' rated users.
• Real-time instant chat capability including text messaging and photo sharing.
• Direct voice call functionality between users logged into the network.
• Compatibility with iOS devices (iPhone and iPad) with support for iOS 9 or later.

• Maps and geolocation services for user proximity detection
• Push notification services for real-time alerts
• Third-party authentication providers for user login options
• Backend analytics platforms for user activity tracking

• App must support high concurrency to handle large user base without latency issues.
• Data transmission must be secure with end-to-end encryption for chats and calls.
• The system should be scalable to support future feature expansion and increasing user load.
• App should have minimal downtime, ensuring high availability and reliability.
• Performance benchmarks: instant chat response time within 1 second, app load time under 3 seconds.

The new location-based social networking and rating app aims to significantly increase local user interactions, with an expected 30% rise in active user engagement within the first six months. By implementing a discreet rating system and real-time communication features, the platform is projected to improve user retention rates and foster a vibrant community of nearby users, ultimately enhancing monetization opportunities through increased activity and potential advertising or premium features.