/*
 * Fab Academy 2026 — Week 17 Wildcard
 * Rock / Paper / Scissors gesture recognition
 * Board: Seeed Studio XIAO ESP32S3 Sense (OV2640 camera + IMU)
 *
 * Workflow: train 3-class image model in Edge Impulse, export Arduino library,
 * then run inference on live camera frames.
 *
 * Before use:
 * 1. Create Edge Impulse project with labels: rock, paper, scissors
 * 2. Collect ~50+ images per class (hand in frame, consistent lighting)
 * 3. Train Impulse (Image classification, 96x96 RGB)
 * 4. Deployment → Arduino library → copy into Arduino/libraries/
 * 5. Uncomment #include and run classify pipeline below
 */

#include <Arduino.h>
// #include <your_project_inferencing.h>  // Edge Impulse export

#define EI_CAMERA_RAW_FRAME_BUFFER_COLS 320
#define EI_CAMERA_RAW_FRAME_BUFFER_ROWS 240

static bool debug_nn = false;

// Last stable prediction (debounced)
String lastGesture = "none";
unsigned long lastDetectMs = 0;
const unsigned long DEBOUNCE_MS = 800;

void setup() {
  Serial.begin(115200);
  delay(1000);
  Serial.println("Week 17 — Rock Paper Scissors (XIAO ESP32S3 Sense)");
  Serial.println("Hold your hand in front of the camera...");

  // ei_camera_init();  // from Edge Impulse camera driver
}

void loop() {
  // Snapshot + classify (Edge Impulse generated functions)
  // if (!ei_camera_capture()) return;
  // ei_impulse_result_t result = { 0 };
  // EI_IMPULSE_ERROR err = run_classifier(&result, debug_nn);
  // if (err != EI_IMPULSE_OK) return;

  // float rock   = result.classification[0].value;  // label order from EI
  // float paper  = result.classification[1].value;
  // float scissors = result.classification[2].value;

  // Demo serial output when model is linked — replace with real inference values
  float rock = 0.05, paper = 0.12, scissors = 0.83;

  String gesture = "unknown";
  float threshold = 0.70;
  if (scissors > threshold && scissors > rock && scissors > paper) gesture = "scissors";
  else if (rock > threshold && rock > paper && rock > scissors) gesture = "rock";
  else if (paper > threshold && paper > rock && paper > scissors) gesture = "paper";

  if (gesture != "unknown" && gesture != lastGesture &&
      millis() - lastDetectMs > DEBOUNCE_MS) {
    lastGesture = gesture;
    lastDetectMs = millis();
    Serial.print("Detected: ");
    Serial.println(gesture);
    // Optional: play tone or drive NeoPixel by gesture
  }

  delay(200);
}