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 Modern, advanced, and fast framework for creating natural language (especially voice) interfaces. Like [FastAPI](https://fastapi.tiangolo.com/), but with speech instead of http. 
 
 Check [docs](https://stark.markparker.me/) for more information.
+
+# Overview
+
+Welcome to the S.T.A.R.K. Docs project, a comprehensive toolkit for building custom voice assistants. This project provides a robust and flexible framework for creating voice assistants that can be tailored to specific use cases. The project includes a variety of features such as navigation, search, and social media integration. The core of the project is the "stark-engine", a Python package that provides the necessary tools and functionalities for building and managing voice assistants.
+
+The project also includes a series of tests to ensure the functionality and reliability of the voice assistant program. These tests cover a wide range of scenarios, from testing background commands and context flows to serializing and deserializing commands using JSON. The project also includes a website, stark.markparker.me, which serves as the main hub for accessing the tools and resources provided by the project.
+
+# Technologies and Frameworks
+
+The S.T.A.R.K. Docs project utilizes a variety of technologies and frameworks to provide a robust and flexible toolkit for building voice assistants. Here are some of the key technologies and frameworks used in this project:
+
+- **Python**: The core language used for the project. The stark-engine package and all the tests are written in Python.
+- **MkDocs**: Used for building the S.T.A.R.K. Docs website.
+- **Google Cloud Text-to-Speech API**: Used for synthesizing speech from text.
+- **Vosk Library**: Used for speech recognition.
+- **Sounddevice Library**: Used for playing synthesized speech.
+- **Anyio**: Used for managing asynchronous tasks.
+- **Pydantic**: Used for data validation and settings management.
+- **Silero Models**: Used for speech synthesis.
+
+# Installation
+
+This guide will walk you through the process of setting up the project on your local machine.
+
+## Prerequisites
+
+Before you begin, ensure you have met the following requirements:
+
+- You have installed Python 3.10.
+- You have a basic understanding of using the command line.
+
+## Installing the Project
+
+To install the project, follow these steps:
+
+1. Clone the repository to your local machine:
+
+```bash
+git clone https://github.com/MarkParker5/STARK.git
+```
+
+2. Navigate to the project directory:
+
+```bash
+cd STARK
+```
+
+3. Install the required Python packages:
+
+```bash
+pip install pydantic==1.10.4 asyncer==0.0.2
+```
+
+Optional dependencies include numpy, sounddevice, soundfile, vosk, google-cloud-texttospeech, torch, mkdocs-material, and mkdocs-git-revision-date-localized-plugin. You can install these as needed.
+
+Development dependencies include pytest, mypy, pytest-asyncio, pytest-trio, and pytest-repeat. You can install these if you plan to contribute to the project.
+
+4. Install the stark package:
+
+```bash
+pip install stark-engine
+```