AI-powered sector mobile app
An iOS app for outdoor activities with map-based hotspot discovery, a weather-based scoring algorithm and AI species recognition. An internal R&D project taken from product design to investor pitch.
| Field | Detail |
|---|---|
| Type | Internal R&D — civil / mobile |
| Status | Under development |
| Platform | iOS (SwiftUI) |
| Stack | Firebase, REST API, OpenWeatherMap, MapKit, CoreML, n8n automations |
| Mechatree's role | Product design, app development, scoring algorithm, R&D grant documentation, investor pitch |
Problem
Outdoor hobbyists decide where and when to go from scattered sources — weather sites, forums, social media. No tool turns that into one meaningful, location- and condition-aware score.
Features
- Map-based hotspot discovery (MapKit)
- Weather scoring algorithm: suitability score per area and time from OpenWeatherMap data
- AI species recognition (CoreML)
- Social layer: friend challenges, gamification, blog
- Automation: n8n workflows for content and data pipelines
Note: This is an internal Mechatree R&D project, not a client commission. The same architecture can be adapted to client projects.
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