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Development of Community-Driven Skating Spot Discovery Platform with AR Integration
  1. case
  2. Development of Community-Driven Skating Spot Discovery Platform with AR Integration

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Development of Community-Driven Skating Spot Discovery Platform with AR Integration

empat.tech
Sports
Social Networks
Mobile Applications

Challenges in Skating Spot Accessibility and Community Engagement

Skaters face difficulties locating suitable skating spots in their area, while existing platforms lack community-driven rating systems and immersive visualization tools. Technical challenges include ensuring application scalability and optimizing media functionality for user-generated content.

About the Client

A tech startup dedicated to connecting skating enthusiasts through innovative location-based technology

Key Goals for Platform Development

  • Create a mobile application for real-time skating spot discovery
  • Implement community-driven rating and review system
  • Integrate AR visualization for spot assessment
  • Ensure scalable architecture for future growth
  • Optimize video upload and playback performance

Core Platform Capabilities

  • Location-based skating spot discovery with GPS integration
  • User-generated reviews and difficulty ratings
  • AR-enabled landscape visualization for spots
  • Video upload/playback with adaptive bitrate streaming
  • Community moderation and content verification system

Technology Stack Requirements

Flutter
Laravel
AWS
Firebase
ARKit/ARCore

External System Integrations

  • Google Maps API
  • Social Media Sharing SDKs
  • Cloud Storage Services

Performance and Quality Standards

  • Scalable cloud architecture
  • Sub-2s media loading times
  • Data encryption for user content
  • 99.9% application uptime SLA

Anticipated Business Outcomes

Establish ShredSpots as the leading platform for skating community engagement, projected to reach 500k active users within 18 months post-launch. Expected to increase user retention by 40% through AR features and community-driven content, while scalable architecture will support 200% growth in data volume without performance degradation.

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