Development of a Proximity-Based Offline Meeting & Connection Platform

The client faces challenges in facilitating meaningful in-person connections among users with similar interests and availability within local areas. Existing platforms lack effective proximity-based matching and user-friendly scheduling tools for face-to-face meetings, limiting community engagement and spontaneous interactions.

A mid-sized business services company looking to enhance face-to-face networking opportunities through a mobile application leveraging user proximity and free time.

• Create a mobile application that enables users to find and connect with others based on geographic proximity and shared interests.
• Implement features allowing users to set and share their free time slots to facilitate in-person appointments.
• Integrate map-based location services to help users identify potential meeting partners nearby.
• Include calendar integration and notification functions to ensure timely scheduling of face-to-face meetings.
• Design an intuitive interface tailored for a wide range of users, with localization options for Japanese language support.
• Ensure compatibility with the latest Android and iOS devices and operating systems.
• Develop a system that promotes spontaneous and organized offline meetups, strengthening community engagement.

• User profile creation with interests and availability details.
• Proximity-based matching algorithm to connect users and groups nearby.
• Ability to find and join groups based on common interests.
• Scheduling feature enabling users to set, share, and get notified of upcoming face-to-face meetings.
• Map and location integration to visualize nearby users and meeting spots.
• Calendar synchronization and reminder notifications for appointments.
• User-friendly, localized interface optimized for current devices and OS standards.

• Map location services APIs for proximity and geospatial features.
• Calendar and reminder synchronization services.
• Localization tools for multi-language support, especially Japanese.

• High scalability to support increasing user base.
• Performance optimization for real-time proximity matching and location updates.
• Strong security and data privacy measures, especially around location and personal data.
• Offline capabilities for critical features to ensure usability in areas with poor connectivity.

The project aims to foster more spontaneous and meaningful face-to-face interactions among users, enhancing community engagement and user satisfaction. By leveraging proximity and shared interests, it is expected to improve matching accuracy and appointment scheduling efficiency, potentially increasing user activity and retention rates within the platform.