Updated Api's, Backend, Frontend of project.

README.md

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+# Baggage Platform
+
+This project is a comprehensive baggage tracking and analytics platform consisting of a Node.js backend, a React frontend, and a Python-based YOLO object detection engine.
+
+## Project Structure
+
+- **backend/**: Node.js Express server with Prisma ORM and WebSocket server.
+- **frontend/**: React application for scanning and monitoring dashboard.
+- **python-engine/**: Python script using YOLOv8 for real-time object detection and streaming.
+
+## Prerequisites
+
+- [Node.js](https://nodejs.org/) (v16 or higher)
+- [Python](https://www.python.org/) (v3.8 or higher)
+- [PostgreSQL](https://www.postgresql.org/)
+
+## Setup Instructions
+
+### 1. Database Setup (PostgreSQL)
+
+1.  Install and start PostgreSQL.
+2.  Create a database (e.g., `baggage_db`).
+3.  Note your database connection details (username, password, host, port, database name).
+
+### 2. Backend Setup
+
+1.  Navigate to the `backend` directory:
+    ```bash
+    cd backend
+    ```
+2.  Install dependencies:
+    ```bash
+    npm install
+    ```
+3.  Configure environment variables:
+    -   Create a `.env` file in the `backend` directory (if it does not exist).
+    -   Add the `DATABASE_URL` variable:
+        ```env
+        DATABASE_URL="postgresql://USER:PASSWORD@localhost:5432/baggage_db?schema=public"
+        ```
+        **Note:** Replace `USER`, `PASSWORD`, and `baggage_db` with your actual PostgreSQL credentials.
+4.  Initialize the database schema:
+    ```bash
+    npx prisma generate
+    npx prisma db push
+    ```
+5.  Start the backend server:
+    ```bash
+    npm start
+    ```
+    -   The API server runs on `http://localhost:5000`.
+    -   The WebSocket server runs on `ws://localhost:8081`.
+
+### 3. Frontend Setup
+
+1.  Open a new terminal and navigate to the `frontend` directory:
+    ```bash
+    cd frontend
+    ```
+2.  Install dependencies:
+    ```bash
+    npm install
+    ```
+3.  Start the development server:
+    ```bash
+    npm start
+    ```
+    -   The application will open at `http://localhost:3000`.
+
+### 4. Python Engine Setup
+
+1.  Open a new terminal and navigate to the `python-engine` directory:
+    ```bash
+    cd python-engine
+    ```
+2.  Install Python dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+3.  Run the detection engine:
+    ```bash
+    python live_yolo_engine.py --source <VIDEO_SOURCE> --streamId <STREAM_ID>
+    ```
+    -   `--source`: Path to a video file or camera index (e.g., `0` for webcam).
+    -   `--streamId`: A unique identifier for the stream (e.g., `cam1`).
+
+    **Example:**
+    ```bash
+    python live_yolo_engine.py --source 0 --streamId cam1
+    ```
+
+## Running the Complete System
+
+1.  Ensure the **PostgreSQL Database** is running.
+2.  Start the **Backend** (`npm start` in `backend/`).
+3.  Start the **Frontend** (`npm start` in `frontend/`).
+4.  Run the **Python Engine** with your desired video source.
+5.  Open `http://localhost:3000` to view the dashboard and real-time analytics.

backend/.env.example

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+DATABASE_URL="postgresql://postgres:1234@localhost:5432/baggage_db?schema=public"

backend/current_annotation_output/labels/1768759482305-frame_0001.txt

@@ -0,0 +1,4 @@
+0 0.3895610272884369 0.6932320594787598 0.1280086189508438 0.1627638041973114
+0 0.16703420877456665 0.5642731785774231 0.09341136366128922 0.15167592465877533
+0 0.9560484290122986 0.9221291542053223 0.08790302276611328 0.15574170649051666
+0 0.13916879892349243 0.811154842376709 0.07705847173929214 0.1463843435049057

backend/current_annotation_output/labels/1768847750499-frame_0023.txt

@@ -0,0 +1,6 @@
+0 0.29829591512680054 0.6446008682250977 0.12156656384468079 0.15267311036586761
+0 0.49192899465560913 0.745903730392456 0.1493932455778122 0.18510030210018158
+0 0.7323252558708191 0.8575846552848816 0.1644657701253891 0.20728585124015808
+0 0.43945321440696716 0.26821741461753845 0.08059863746166229 0.10975001007318497
+0 0.14751005172729492 0.5243874788284302 0.07802576571702957 0.1305433213710785
+0 0.9607410430908203 0.9214945435523987 0.07851791381835938 0.15701085329055786

backend/current_annotation_output/labels/1769096617682-frame_0027.txt

@@ -0,0 +1,4 @@
+0 0.6010957956314087 0.8095666170120239 0.1622653603553772 0.20247666537761688
+0 0.21071714162826538 0.6001806259155273 0.10528070479631424 0.1516542285680771
+0 0.37665608525276184 0.6881519556045532 0.1307695060968399 0.16416846215724945
+0 0.27681371569633484 0.3579447865486145 0.08090914040803909 0.10942911356687546