feat: Enhance Header component to improve active link detection

- Updated the `isActive` function in `Header.jsx` to handle root path and include logic for other paths.

chore: Update package-lock.json to remove peer dependencies

- Removed unnecessary peer dependencies from various packages in `package-lock.json`.

feat: Update frameworks.json to include example links

- Changed `exemplo_codigo` to `exemplo` and added `exemplos` links for various frameworks in `frameworks.json`.

feat: Add placa images to series.json

- Included image paths for different ESP32 series in `series.json`.

feat: Create CodeExample component for displaying code snippets

- Added a new `CodeExample.jsx` component to fetch and display code examples dynamically.

feat: Add example Arduino code for Wi-Fi connection

- Created `arduino.ino` example for connecting to Wi-Fi.

feat: Add example code for audio playback using ESP-ADF

- Created `esp-adf.c` example for audio playback using ESP-ADF.

feat: Add example code for DSP operations

- Created `esp-dsp.c` example demonstrating basic DSP operations.

feat: Add example code for ESP-IDF LED blinking

- Created `esp-idf.c` example for blinking an LED using ESP-IDF.

feat: Add example code for Matter integration

- Created `esp-matter.c` example for Matter device initialization and event handling.

feat: Add example code for neural network operations

- Created `esp-nn.c` example demonstrating basic neural network operations.

feat: Add example code for face detection using ESP-WHO

- Created `esp-who.c` example for face detection using ESP-WHO library.

feat: Add MicroPython example for LED blinking

- Created `micropython.py` example for blinking an LED using MicroPython.

public/exemplos/esp-nn.c

@@ -0,0 +1,44 @@
+#include <stdio.h>
+#include "esp_nn.h"
+#include "esp_nn_defs.h"
+
+#define INPUT_SIZE 4
+#define OUTPUT_SIZE 3
+
+void print_array(const char *label, int16_t *array, int size) {
+    printf("%s: ", label);
+    for (int i = 0; i < size; i++) {
+        printf("%d ", array[i]);
+    }
+    printf("\n");
+}
+
+void app_main(void)
+{
+    // Vetor de entrada (ex: saída de uma camada anterior)
+    int16_t input[INPUT_SIZE] = {1, 2, 3, 4};
+
+    // Pesos da camada densa (3x4)
+    int8_t weights[OUTPUT_SIZE * INPUT_SIZE] = {
+         1, -1,  2,  0,
+         0,  1, -1,  1,
+         2,  0,  1, -2
+    };
+
+    // Bias de cada neurônio
+    int16_t bias[OUTPUT_SIZE] = {10, -5, 0};
+
+    // Saída
+    int16_t output[OUTPUT_SIZE];
+
+    // Multiplicação da matriz: output = weights * input + bias
+    esp_nn_mul_mat_16x8_16(weights, input, bias, output,
+                           OUTPUT_SIZE, INPUT_SIZE, /*shift=*/0);
+
+    print_array("Antes da ReLU", output, OUTPUT_SIZE);
+
+    // Aplicar função de ativação ReLU
+    esp_nn_relu_16(output, OUTPUT_SIZE);
+
+    print_array("Depois da ReLU", output, OUTPUT_SIZE);
+}