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Full-Stack Inventory Management System

A modernized, monochromatic logistics and inventory management system powered by a fully fledged REST API backend. This project showcases a clean, professional approach to supply chain visualization and data persistence.

🔗 Live Project

View Live Demo

🖼️ System Preview

Dashboard Preview Figure: The minimalist dashboard showing real-time stock analytics and inventory controls.

🚀 Key Features

  • Monochromatic UI: A high-contrast, professional design optimized for focus and reduced eye strain.
  • RESTful API: Robust backend handling GET, POST, and UPDATE requests for inventory synchronization.
  • Automated DB Initialization: Powered by SQLite; the system automatically builds the schema and seeds initial data on the first run.
  • Enterprise Authentication: A secure login gate for system administrators.

🛠️ Tech Stack

  • Frontend: HTML5, CSS3 (Custom Logistics Styling), Client-side JavaScript.
  • Backend: Node.js, Express.js.
  • Database: SQLite3 (Local file-based persistence).

🔐 Credentials & Security

To access the administrative dashboard, use the following default credentials:

  • Username: admin
  • Password: admin123

Warning

Change your password immediately after the first login to ensure the security of your inventory data.

⚙️ Setup & Initialization

  1. Install Dependencies Navigate to the project root and install the required modules:

    npm install
  2. Run the Server Start the Node.js backend:

    node server.js
  3. Access the App Open your browser and navigate to:

    http://localhost:3000
    

📂 Project Structure

  • /public: Frontend assets (HTML, CSS, JS).
  • /data: SQLite database storage.
  • server.js: Express.js API and server logic.
  • database.js: Database schema and initialization script.

Developed by Papia Karmakar — B.Tech CSE, UEM Kolkata

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A modernized, monochromatic logistics and inventory management system powered by a fully fledged REST API backend. This project showcases a clean, professional approach to supply chain visualization and data persistence.

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