📦 SmartStockTracker

🚀 Introduction

SmartStockTracker is a cutting-edge inventory management system designed to simplify stock tracking and deliver real-time analytics for businesses.
It combines modern technology with practical features like low stock alerts, product tracking, and QR code generation, ensuring enhanced operational efficiency.

---

👥 Team Members

• Adityan S Kumar — Roll No: 2301420004
• Raghuveer Singh — Roll No: 2301420038
• Aman Kumar Singh — Roll No: 2301420040

---

🔗 Video Demo

(https://drive.google.com/file/d/1_R8vUU-O4A9R_BJvuTA7hQhbclfcLuVJ/view?usp=sharing)

---

🛠️ Libraries and Tools Used

Backend

• Flask: Python framework for building the web backend.
• Streamlit: For interactive dashboards.
• Pandas: Data manipulation and analysis.
• Plotly: Data visualization.
• Pillow: Image processing for QR code generation.
• QRCode: Generate scannable QR codes.
• Twilio: Notification services (optional).

Frontend

• HTML: Structuring the web app.
• CSS: Styling and user interface.

Deployment

• Nix: Environment management and dependency control.

---

🚀 Introduction

SmartStockTracker is a cutting-edge inventory management system designed to simplify stock tracking and deliver real-time analytics for businesses.
It combines modern technology with practical features like low stock alerts, product tracking, and QR code generation, ensuring enhanced operational efficiency.

---

✨ Key Features

🌐 Web Application

• Backend powered by Flask and Streamlit.
• Frontend designed using HTML and CSS.
• Deployment environment managed with Nix.

📊 Real-Time Analytics

• Insightful inventory dashboards using Pandas and Plotly.
• Low stock alerts to enable proactive stock management.

🏷️ QR Code Generation

• Generate scannable QR codes for each inventory item.

---

📖 How to Use SmartStockTracker

Step 1: Access the Application

• Clone the repository and set up the project locally.

Step 2: Install the Application

• Set up the environment and install all necessary dependencies.

Step 3: Open the App

• Launch the server via the terminal and access the app in your browser.

Step 4: Important Note (for Testing)

• The application is currently in testing mode — you can use any credentials to log in and explore.

---

🧭 Features Available After Login

• Monitor total products, stock levels, and overall stock value.
• View low stock alerts and inventory distribution charts.
• Generate QR codes for quick scanning of products.

---

🛠️ How to Run the Application Locally

📋 Prerequisites

• Python 3.11 — Download Here
• Git — Download Here

Verify installations:

python --version
git --version
git clone <repository-url>
cd SmartStockTracker
# For Windows
venv\Scripts\activate
pip install streamlit flask pandas
pip install qrcode
python app.py

Open your browser and navigate to:

• http://localhost:5000

---

📝 Important Notes

• Ensure a stable internet connection for real-time features.
• The local database is managed through utils/db_manager.py; ensure it is properly configured.
• For additional features like notifications, Twilio setup might be required.

---

❤️ Credits

Made with ❤️ by
Adityan S Kumar
Raghuveer Singh
Aman Kumar Singh

---