Merge pull request #8 from CESNET/readme

Updated README and introduce LICENSE

LICENSE

@@ -0,0 +1,29 @@
+BSD 3-Clause License
+
+Copyright (c) 2025, CESNET
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.md

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-# ADiCT-lite
-CESNET's ADiCT (Asset Discovery, Classification and Tagging) project, in a lightweight version.
+<div align="center">
+<picture>
+  <source srcset="https://raw.githubusercontent.com/CESNET/Pandda-ADiCT/refs/heads/main/img/logo_horizontal_white.svg" media="(prefers-color-scheme: dark)">
+  <img src="https://raw.githubusercontent.com/CESNET/Pandda-ADiCT/refs/heads/main/img/logo_horizontal_black.svg">
+</picture>
+</div>
 
-The configuration and additional modules for the ADiCT-lite project are located in the `dp3_server` directory.
-The input data collector modules are located in the `nemea_modules` directory.
+PANDDA-ADiCT is a streamlined version of CESNET's Asset Discovery, Classification, and Tagging (ADiCT) system. It provides a lightweight yet powerful approach to asset discovery and classification using modular components.
+
+## Project Structure
+```
+dp3_server/ – Contains the configuration and additional modules for PANDDA-ADiCT.
+nemea_modules/ – Hosts the input data collector modules based on the NEMEA framework.
+fronted/ - webapp in vue.js presenting the asset discovery results 
+```
+
+##  Installation & Usage
+This repository is intedet to be used with PANDDA infrastructure. Here are other PANDDA:
+* https://github.com/CESNET/Pandda-Playbooks/
+
+Clone the repository:
+```
+git clone https://github.com/CESNET/Pandda-ADiCT.git
+cd Pandda-ADiCT
+```