AEROVIT.

EXECUTIVE SUMMARY

Hybrid fitness ecosystem pairing a Flutter app with a custom ESP32-S3 smartwatch, MediaPipe BlazePose tracking, adaptive AI coaching, and an ERC-20 reward token on Ethereum Sepolia, complete at demonstration depth as a fully walkable prototype.

SYSTEM HIGHLIGHTS

• Custom smartwatch hardware: ESP32-S3, 1.69" touch LCD, MAX30102 HR/SpO2, QMI8658 IMU, BLE 5.0
• 33-landmark BlazePose pipeline with EMA smoothing, joint-angle scoring, and rep/form state machines
• Gamification: Hunter ranks (E → National), XP, quests, leaderboards, and a 20-floor turn-based dungeon RPG
• Web3 rewards: AERO ERC-20 on Sepolia: off-chain accrual, 100 AERO minimum, 24h cooldown, 5% burn
• AI coaching: RAG (ChromaDB), STT/TTS, low-latency audio, RL-style intensity adaptation

CORE ARCHITECTURE

• Biometrics stream from the watch as 28-byte BLE packets into the Flutter app
• Camera frames feed the pose pipeline in parallel; the AI coach consumes both signals
• Firebase Auth, Firestore, and Cloud Functions form the backend plane
• Earnings accrue off-chain; withdrawal gates enforce minimum, cooldown, and burn before Sepolia transfer

GALLERY & EVIDENCE FILES

■ [ VIDEO DEMO ] AEROVIT SMARTWATCH & POSE TRACKING DEMO: REAL-TIME ESP32-S3 BIOMETRICS AND MEDIAPIPE BLAZEPOSE INTENSITY MAPPING

■ [ YOUTUBE FEED ] AEROVIT HYBRID FITNESS WALKTHROUGH: DETAILED DEMONSTRATION OF SMARTWATCH BLE BIOMETRICS AND MEDIAPIPE POSE RECOGNITION SYSTEM (YOUTUBE)

■ AEROVIT SMARTWATCH: CUSTOM ESP32-S3 BIOMETRICS WEARABLE WITH CUSTOM ENCLOSURE AND INTEGRATED PULSE SENSOR

■ AEROVIT RESEARCH & DEVELOPMENT POSTER: HARDWARE SCHEMATIC, MEDIAPIPE PROCESSING PIPELINE, AND CORE SYSTEMS ARCHITECTURE