Update README

Update README and add new field to sample.env

README.md

@@ -1,2 +1,102 @@
 # face-recognition
-
+
+## Overview
+
+This repository contains the code for a self-driving bus authentication system that uses facial recognition to authenticate users for check-in and check-out. The system comprises both a frontend and a backend, with the backend utilizing the Python library `dlib` and `face_recognition` for face recognition and FastAPI for the API. The frontend uses Flask to serve webcam images to the backend for recognition.
+
+## Features
+
+- Facial recognition for user authentication.
+- User check-in and check-out functionality.
+- Integration with a database for user management and tracking.
+- Real-time webcam image serving and recognition.
+
+## Prerequisites
+
+Before running the application, make sure you have the following prerequisites installed:
+
+- Python 3.10 or higher
+- pip package manager
+- Required Python packages (see the `requirements.txt` file)
+- A webcam for image capture
+
+## Installation
+
+1. Clone this repository to your local machine:
+
+    ```bash
+    git clone https://github.com/nihaalnz/face-recognition
+    ```
+2. Navigate to the project directory:
+    ```bash
+    cd face-recognition
+    ```
+3. Create a virtual environment (recommended)
+    ```bash
+    python -m venv venv
+    ```
+4. Activate the virtual environment:
+    - On Windows:
+        ```bash
+        venv\Scripts\activate
+        ```
+    - On macOS or Linux:
+        ```bash
+        source venv/bin/activate
+        ```
+5. Install the required packages:
+
+    5.1 Install the required python packages:
+    ```bash
+    pip install -r requirements.txt
+    ```
+    5.2 Install the required node packages (need to have node and npm installed):
+
+    5.2.1 Navigate to frontend package (new terminal):
+
+    ```bash
+    cd face-recognition/frontend
+    ```
+
+    5.2.2 Install the npm packages:
+    ```bash
+    npm install
+    ```
+
+    5.2.3 Build the css using tailwind:
+    ```bash
+    npm run build
+    ```
+
+## Configuration
+
+1. Configure the database connection details in `.env`.
+
+2. Ensure that the necessary models for `dlib` and `face_recognition` are downloaded and placed in the appropriate directories. You can follow the instructions provided by these libraries for their installation.
+
+## Usage
+1. Make an .env file by filling the contents in [sample.env](/sample.env)
+
+2. Start the backend FastAPI server:
+    ```bash
+    python backend
+    ```
+    The backend server will start at `http://localhost:8000`.
+
+3. Start the frontend Flask server (in a separate terminal):
+    ```bash
+    python frontend
+    ```
+4. Access the application in your web browser at `http://localhost:5000`.
+
+## Contributing
+
+Contributions to this project are welcome! If you find a bug or have an enhancement in mind, please open an issue or create a pull request.
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](/LICENSE) file for details.
+
+## Acknowledgments
+
+- Thanks to the developers of `dlib`, `face_recognition`, FastAPI, and Flask for their excellent libraries and frameworks.

sample.env

@@ -1,3 +1,4 @@
 DATABASE_URL=
 BASE_API_URL=
-VIDEO_URL=
+VIDEO_URL=
+BUS_ID=