Madhu Marga

The architecture is entirely offline-first: all data lives in Room SQLite database, giving farmers full functionality on their phones regardless of network status. Inspection logging captures queen presence, pest activity, and temperature observations, which feed into an automated AI decision matrix — rule-based expert logic that evaluates these conditions and returns color-coded actionable interventions like Emergency Re-queening, Mite Treatment, or Harvest Alerts. Harvest tracking logs honey yields by season and hive, visualized through interactive bar charts powered by MPAndroidChart, showing annual yield trends at a glance. A built-in flora blooming calendar provides seasonal guidance for tracking local floral nectar and pollen flow across different Indian regions. Background automation runs via WorkManager, a periodic worker that checks inspection histories and triggers local notifications when hive evaluations are overdue — a 14-day cycle reminder without requiring network calls. Data export is one tap: all hive, inspection, and harvest records export to CSV directly to the device's Downloads folder for farmers to share with agricultural extension officers. Security uses local Room DB credential management with mathematical password hashing. Optional cloud functionality integrates Firebase Authentication and Analytics (Firebase BoM v34.13.0) for farmers who want to back up data, but the app functions fully without it. The UI prioritizes accessibility and simplicity — built for users with varying technical literacy, particularly rural farmers. Target SDK is API 34 with minimum support for API 24 (Android 7.0)