Project Oasis is an AI-assisted, ESP32-S3-based smart plant watering system. It is designed for modularity, offline operation, secure OTA updates, and energy-efficient solar-powered deployment. The project includes a Flutter-based Firebase dashboard and full hardware abstraction.

• Automatic watering of up to 6 plants
• Modular hardware abstraction (easy sensor/actuator replacement)
• Firebase integration for configuration, telemetry, OTA
• Secure OTA updates (signed + verified)
• Local Wi-Fi provisioning via HTTPS captive portal
• Power-efficient RTC wake + deep sleep
• Debug mode with remote logging to Firebase
• QEMU-first development (simulate logic before deploying)

• QEMU Mode: Simulates sensors, actuators, OTA, config, and logic.
• Hardware Mode: Real-world sensor/actuator integration.

• ESP32-S3-DevKitC-1 (40-pin)
• Ultrasonic water level sensor
• 12V pump or solenoid valves
• TP4056 + LiPo + Boost Converter
• Optional: leak/rain sensors, flow meter, RTC

idf.py build
idf.py flash
idf.py monitor

main/
  ├── oasis.c                # Application entry
  ├── oasis_config.[ch]      # Config management (NVS)
  ├── sensors/               # Sensor drivers (mock + real)
  ├── wifi/                  # Wi-Fi connection + provisioning
  ├── firebase/              # REST API for config + telemetry

This project is licensed under the GNU General Public License v2.0. See LICENSE for details.