Added Emscripten CI badge status on documentations.

README.md

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 ![Arduino CI](https://github.com/nthnn/diwa/actions/workflows/arduino_ci.yml/badge.svg)
 ![Arduino Lint](https://github.com/nthnn/diwa/actions/workflows/arduino_lint.yml/badge.svg)
 ![Arduino Release](https://img.shields.io/badge/Library%20Manager-v0.0.6-red?logo=Arduino)
+![Emscripten Build CI](https://github.com/nthnn/diwa/actions/workflows/emcc_build_ci.yml/badge.svg)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/nthnn/diwa/blob/main/LICENSE)
 
 Diwa is a lightweight library providing a simple implementation of Feedforward Artificial Neural Networks (ANNs) for microcontrollers such as ESP32, ESP8266, RP2040, and similar development boards (specially boards with PSRAM); it is also compatible for desktop environments (Windows, MacOS, and Linux-based OSes), WebAssembly, and even PSP gaming consoles. It is designed for resource-constrained environments but can be used with non-Arduino platform projects, offering a streamlined solution for tasks that require neural network capabilities.

docs/index.html

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 </div>
 <div class="textblock"><div align="center"> <img src="logo.png" alt="" width="200" class="inline"/> <br  />
  <h1>Diwa: Tiny AI/ML Library</h1>
-</div><div align="center"> </div><p><img src="https://github.com/nthnn/diwa/actions/workflows/gcc_build_ci.yml/badge.svg" alt="GCC Build CI" style="pointer-events: none;" class="inline"/> <img src="https://github.com/nthnn/diwa/actions/workflows/arduino_ci.yml/badge.svg" alt="Arduino CI" style="pointer-events: none;" class="inline"/> <img src="https://github.com/nthnn/diwa/actions/workflows/arduino_lint.yml/badge.svg" alt="Arduino Lint" style="pointer-events: none;" class="inline"/> <img src="https://img.shields.io/badge/Library%20Manager-v0.0.6-red?logo=Arduino" alt="Arduino Release" class="inline"/> <a href="https://github.com/nthnn/diwa/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT" style="pointer-events: none;" class="inline"/></a></p>
+</div><div align="center"> </div><p><img src="https://github.com/nthnn/diwa/actions/workflows/gcc_build_ci.yml/badge.svg" alt="GCC Build CI" style="pointer-events: none;" class="inline"/> <img src="https://github.com/nthnn/diwa/actions/workflows/arduino_ci.yml/badge.svg" alt="Arduino CI" style="pointer-events: none;" class="inline"/> <img src="https://github.com/nthnn/diwa/actions/workflows/arduino_lint.yml/badge.svg" alt="Arduino Lint" style="pointer-events: none;" class="inline"/> <img src="https://img.shields.io/badge/Library%20Manager-v0.0.6-red?logo=Arduino" alt="Arduino Release" class="inline"/> <img src="https://github.com/nthnn/diwa/actions/workflows/emcc_build_ci.yml/badge.svg" alt="Emscripten Build CI" style="pointer-events: none;" class="inline"/> <a href="https://github.com/nthnn/diwa/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT" style="pointer-events: none;" class="inline"/></a></p>
 <p>Diwa is a lightweight library providing a simple implementation of Feedforward Artificial Neural Networks (ANNs) for microcontrollers such as ESP32, ESP8266, RP2040, and similar development boards (specially boards with PSRAM); it is also compatible for desktop environments (Windows, MacOS, and Linux-based OSes), WebAssembly, and even PSP gaming consoles. It is designed for resource-constrained environments but can be used with non-Arduino platform projects, offering a streamlined solution for tasks that require neural network capabilities.</p>
 <p>Diwa stands out as a straightforward and effective solution for implementing artificial neural networks on microcontrollers. Key features include:</p>
 <ul>

misc/main_page.md

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 ![Arduino CI](https://github.com/nthnn/diwa/actions/workflows/arduino_ci.yml/badge.svg)
 ![Arduino Lint](https://github.com/nthnn/diwa/actions/workflows/arduino_lint.yml/badge.svg)
 ![Arduino Release](https://img.shields.io/badge/Library%20Manager-v0.0.6-red?logo=Arduino)
+![Emscripten Build CI](https://github.com/nthnn/diwa/actions/workflows/emcc_build_ci.yml/badge.svg)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/nthnn/diwa/blob/main/LICENSE)
 
 %Diwa is a lightweight library providing a simple implementation of Feedforward Artificial Neural Networks (ANNs) for microcontrollers such as ESP32, ESP8266, RP2040, and similar development boards (specially boards with PSRAM); it is also compatible for desktop environments (Windows, MacOS, and Linux-based OSes), WebAssembly, and even PSP gaming consoles. It is designed for resource-constrained environments but can be used with non-Arduino platform projects, offering a streamlined solution for tasks that require neural network capabilities.