This branch is for the Eye Tracker Demonstration, which uses:

• An ESP32-CAM for remote video streaming
• An Arduino for controlling servo motors and LED indicators

Disclaimer: This software is intended for research/educational use. It does not contain or process personal medical data.

1. Open the ESP32-CAM code:
   Esp32_camera_WORKING_with_python
2. Modify the Wi-Fi credentials in lines 5 and 6:
   • Ensure you are connected to a 2.4GHz Wi-Fi network (You can set your phone hotspot to 2.4GHz).
   • Line 5 → Set your Wi-Fi SSID (network name)
   • Line 6 → Set your Wi-Fi password
3. Flash the code onto the ESP32.
4. After flashing, copy the local IP address shown in the serial monitor — this will be the URL for the video stream.

1. Open the Arduino sketch:
   Eye_Tracking_Arduino_V2.0
2. Upload the code to the Arduino.

• In your Python eye tracker script, update the video stream URL on line 93 with the IP address you copied from the ESP32 serial output.
• Ensure the ESP32-CAM has a clear view of the user's entire face for optimal tracking.