Invoice Generator Dashboard

A full-stack invoice management system with a modern UI and robust backend.
Built using Flask + SQLite (backend) and HTML/CSS/JavaScript (frontend), this project allows you to create, manage, and track invoices while also providing sales analytics and profit tracking.

---

✨ Features

• 📊 Dashboard Analytics

  • Monthly/Yearly sales overview with charts (Chart.js)
  • KPI cards for total sales, profit, and invoice count
  • Recent invoices quick view

• 🧾 Invoice Management

  • Create new invoices with customer & item search
  • Add discounts, tax (GST), round-off, and final totals
  • Save or print invoices (PDF generation via WeasyPrint)
  • Edit existing invoices

• 👥 Customer Management

  • Add, edit, and manage customer records
  • Store GSTIN, address, and place of supply
  • Integrated customer search

• 📦 Item Management

  • Add & edit items with HSN, units, MRP, purchase price, and GST
  • Category support
  • Profit tracking from purchase vs. sale price

• ☁️ Backup & Restore

  • Backup the SQLite database
  • Restore from a backup file

• 🎨 Modern UI

  • Responsive dashboard layout
  • Light/Dark theme support
  • Smooth animations & clean design

---

🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript (Chart.js for analytics)
• Backend: Python (Flask, Flask-CORS)
• Database: SQLite
• PDF Generation: WeasyPrint
• Data Seeding: Python script (seed_database.py)

---

📂 Project Structure

index.html # Dashboard page ├── invoice.html # Invoice creation page ├── styles.css # Dashboard styles ├── invoice.css # Invoice page styles ├── script.js # Dashboard logic ├── invoice.js # Invoice page logic ├── requirements.txt #dependencies ├── server.py # Flask backend API ├── schema.sql # Database schema ├── seed_database.py # Script to seed sample data ├── invoice_app.db # SQLite database (generated)

---

🚀 Getting Started

1. Clone the Repository

bash git clone https://github.com/rishabh0510rishabh/invoice-generator- cd invoice-generator-

2. Create & Activate Virtual Environment

python -m venv venv source venv/bin/activate # On Linux/Mac venv\Scripts\activate # On Windows

3. Install Dependencies

pip install -r requirements.txt

4. Initialize Database

python seed_database.py

5. Run the Server

python server.py Server runs on http://127.0.0.1:5000

6. Open Frontend

Open index.html for dashboard