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docs/source/index.rst

@@ -4,24 +4,44 @@
    contain the root `toctree` directive.
 
 Welcome to LDAQ documentation!
-===============================================================
+==============================
 
-This package provides an extendable interface for data acquisition and generation. It is designed to be quickly set-up, easy to use and accomodate a wide range of data sources.
+What is LDAQ?
+-------------
 
-The source-code for this package is available on `GitHub <https://github.com/ladisk/LDAQ>`_.
+LDAQ stands for **L**\ ightweight **D**\ ata **A**\ c\ **Q**\ uisition, a Python-based toolkit designed to make data collection seamless and efficient. Whether you're a researcher, engineer, or hobbyist, LDAQ offers a powerful yet user-friendly platform to gather 
+data from a wide range of hardware sources. The package enables data **acquisition** and signal **generation** from multiple hardware sources, and costumizable **live data visualization**.
+
+Key Features:
+-------------
+
+- 🐍 **Python-Powered**: Built on the robust and versatile Python language, LDAQ harnesses its power to offer a streamlined data collection process. It's compatible with all Python environments, ensuring ease of integration into your existing workflows.
+
+- 📟 **Diverse Hardware Compatibility**: LDAQ supports a variety of hardware sources, including:
+
+  - National Instruments
+
+  - Digilent
+
+  - Serial communication devices (i.e. Arduino, ESP)
+
+  - FLIR Cameras
 
-The package enables data **acquisition** and signal **generation** from multiple hardware sources, and costumizable **live data visualization**.
+  - Simulated hardware
+
+- 📊 **Advanced Data Visualization & Analysis**: LDAQ doesn’t just collect data; it helps you understand it. With built-in features like real-time signal visualization and Fast Fourier Transform (FFT) analysis, you can dive deep into your data for more insightful discoveries.
+
+- ⚙️ **Customization & Flexibility**: Tailor LDAQ to your specific needs. Whether you're dealing with high-speed data streams or complex signal processing, LDAQ's customizable framework allows you to optimize and accelerate your data acquisition processes.
+
+
+The source-code for this package is available on `GitHub <https://github.com/ladisk/LDAQ>`_.
 
 See :doc:`simple_start` for a quick start guide.
 
 See :doc:`tutorials` to learn about different LDAQ features.
 
 For more advanced use cases of currently supported hardware see notebook :doc:`examples`.
 
-.. note::
-
-   To quickly add acquisition code to your project, go to the :doc:`snippets` page, where you can copy and paste the code you need.
-
 Table of Contents
 =================
 .. toctree::
@@ -35,8 +55,6 @@ Table of Contents
    code
    examples
 
-
-
 Indices and tables
 ==================