HikeSafe - Hiking Safety App

HikeSafe is an intelligent, offline-ready safety net designed for hikers, students, and outdoor enthusiasts. Powered by on-device AI, augmented reality, and smartphone motion sensors, HikeSafe works quietly in the background to detect emergencies, and deliver real-time first aid assistance when every second counts. Whether you are navigating steep trails or exploring remote coastal paths, HikeSafe turns your iPhone into an automated guardian, keeping you safe, informed, and connected. AUTOMATIC FALL DETECTION & SOS ALERTS * Fuses motion sensors to automatically spot sudden falls or prolonged inactivity.
 * Triggers an emergency response within 10 seconds if you are unable to call for help manually.
 * Pre-caches emergency contact messages and dispatches your location coordinates as soon as a network signal is recovered.
 AI WOUND RECOGNITION & FIRST AID * Real-time injury analysis: Scan cuts, burns, or sprains using your camera for instant recommendations.
 * Practical, step-by-step first aid procedures (e.g., RICE protocol) designed to turn emergencies into clear, actionable steps.
 * 100% on-device processing: Runs locally via Apple CoreML to ensure rapid, reliable advice without cellular data.
 HIGH-PRECISION AR NAVIGATION * Cuts GPS error from 50–100 meters down to under 5 meters using ARKit camera overlays.
 * Identifies safe paths, trail markers, and nearby communication points directly on your live camera screen.
 * Proactive Dead-Zone Warnings notify you before you enter areas without cellular coverage so you can prepare in advance.
 BATTERY-EFFICIENT & BUILT FOR EVERYONE * Efficient background tracking consumes under 10% battery per hour.
 * Clean interface with calm voice guidance designed for solo hikers, students, and seniors.
 * Fully functional offline for core safety features, first aid, and cached trail maps.
 What’s New Version 2.0.0 * Initial release of HikeSafe.
 * Real-time CoreML AI wound identification for sprains, cuts, and burns.
 * Sensor-based automatic fall detection with offline SOS queuing.