Step 1: Hardware Assembly

Steps:

1. Mount the Solar Panel on a servo-driven dual-axis frame.
2. Attach 4 LDRs on each corner of the panel to detect sunlight intensity.
3. Connect Servo Motors to Arduino PWM pins for axis control.
4. Interface Rain Sensor Module to Arduino digital input pins.
5. Connect Raspberry Pi Camera (or USB webcam) to Raspberry Pi.

6. NodeMCU Setup for sending sensor data to ThingSpeak/Azure IoT

   Step 2: Arduino Programming (Sun & Rain Control)

7. Write code to:
   1. Continuously read LDR values and adjust servo motors to align with the highest light intensity.
   2. Monitor Rain Sensor to override tracking and tilt panel to a safe position.
8. Upload code using Arduino IDE.
9. Step 3: Raspberry Pi Edge AI with OpenCV
10. Install Python, OpenCV on Raspberry Pi.
11. Write a Python script to:
    1. Capture images or video streams.
    2. Detect cloud density or shading using image processing.
    3. Adjust panel alignment for maximum efficiency.
    4. Integrate ML model (optional) to predict weather patterns.
12. Example of AI-based Cloud Detection:
     
13. Step 4: IoT Cloud Integration
14. NodeMCU ESP8266 is used to upload sensor data to:
    1. ThingSpeak for live data visualization.
    2. Azure IoT Hub for analytics and dashboarding.
15. Use MQTT/HTTP protocol to send data.
     
16. Step 5: Testing & Demo Video
17. Test sun tracking by using a torch to simulate sunlight.
18. Spray water on the rain sensor to simulate rain response.
19. Observe panel adjusting automatically.

20. Monitor data logging on ThingSpeak/Azure dashboard.

    Working Video:

    Circuit Diagram: