Add detailed setup instructions and system overview to README

This update introduces a comprehensive README file for TraumaAI, including an overview of the system, core technologies used, and step-by-step setup instructions for Windows, macOS, Ubuntu, and Docker. It also includes API access details and documentation links for easier onboarding and usage.

README.md

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+# TraumaAI
+
+An artificial intelligence-based system for assistance in diagnosis and processing of trauma data. TraumaAI provides an API for interaction with a chat system, storage and analysis of medical data related to traumatology.
+
+## Core Technologies
+
+- **FastAPI** - Modern high-performance web framework for building APIs
+- **MongoDB** - NoSQL database for data storage
+- **OpenAI** - Integration with artificial intelligence models for medical data analysis
+- **Python 3.12** - Programming language
+- **Docker** - Application containerization
+- **FAISS** - Library for vector search (used for finding similar medical cases)
+- **PyJWT/jose** - User authentication and authorization
+- **Uvicorn** - ASGI server for running FastAPI
+
+## Local Installation and Setup
+
+### Prerequisites
+
+- Python 3.12 or higher
+- MongoDB
+- OpenAI API key
+
+### Windows
+
+1. Clone the repository:
+   ```
+   git clone <repository-url>
+   cd TraumaAI
+   ```
+
+2. Create and activate a virtual environment:
+   ```
+   python -m venv .venv
+   .venv\Scripts\activate
+   ```
+
+3. Install dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+4. Create a .env file based on .env.example:
+   ```
+   copy .env.example .env
+   ```
+   Then edit the .env file, adding your values for MongoDB URL and OpenAI API key.
+
+5. Run the application:
+   ```
+   uvicorn main:app --reload
+   ```
+
+### macOS / Ubuntu
+
+1. Clone the repository:
+   ```
+   git clone <repository-url>
+   cd TraumaAI
+   ```
+
+2. Create and activate a virtual environment:
+   ```
+   python3 -m venv .venv
+   source .venv/bin/activate
+   ```
+
+3. Install dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+4. Create a .env file based on .env.example:
+   ```
+   cp .env.example .env
+   ```
+   Then edit the .env file, adding your values for MongoDB URL and OpenAI API key.
+
+5. Run the application:
+   ```
+   uvicorn main:app --reload
+   ```
+
+### Running with Docker
+
+1. Build the Docker image:
+   ```
+   docker build -t traumaai .
+   ```
+
+2. Run the container:
+   ```
+   docker run -p 7860:7860 --env-file .env traumaai
+   ```
+
+## API Access
+
+After startup, the API will be available at: http://localhost:7860
+
+API documentation is available at:
+- http://localhost:7860/docs - Swagger UI
+- http://localhost:7860/redoc - ReDoc