QikGuard

Flutter
Firebase
TensorFlow Lite
GeminiGemini
MongoDBMongoDB
Node.jsNode.js
QikGuard

QikGuard is a single mobile app for delivery partners (Swiggy, Zomato, Blinkit, Dunzo, Uber Eats etc.) that combines a safety net, earnings intelligence, and growth tools—built by riders, for riders. The platform addresses the critical challenges faced by gig riders: daily income guessing across multiple apps, the risk of getting stranded or encountering safety issues in low-signal/high-crime areas, and the lack of structured pathways for upskilling. By integrating a real-time earnings dashboard, a BLE safety beacon, sensor-based fatigue monitoring, and AI route/shift optimization, QikGuard empowers delivery partners to increase their daily net income by 15-25% while staying safe.

Features

  • •Smart Multi-App Earnings Dashboard: Link accounts via secure email parsing (Gmail API), OCR on screenshot PDFs, or mock bank UPI feeds to aggregate daily payouts, hourly trends, and AI-driven platform suggestions.
  • •BLE Safety Beacon & Community SOS: Establishes a 50–100m safety bubble around the rider's phone that auto-detects idling in high-crime/low-signal areas and triggers real-time SOS location sharing with nearby riders.
  • •AI Fatigue & Exhaustion Guardian: Monitors accelerometer and gyroscope patterns to detect continuous driving and harsh braking, recommending mandatory breaks and projecting potential income drops if driving is continued.
  • •Intelligent Gig Optimizer: Features a unified order stream prioritizing the best offers based on pay-per-kilometer, distance, and current fatigue levels, complete with shift planning and route optimization.
  • •Personalized Upskilling Academy: Provides bite-sized training modules (EV maintenance, financial literacy, and premium-order English) that offer priority order batching or mock cashbacks upon completion.
  • •Notification Parsing Architecture: Operates a dual-layer system with a client-side real-time parser (<50ms) for instant order scoring and ranking, alongside a robust backend MongoDB parser for validation and long-term storage.
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