Quotation Generation Agent

Overview

The Quotation Generation Agent is a Python-based web application that automates the process of generating professional quotations. It allows users to create quotations from product information stored in a database and export them as PDF documents through an easy-to-use web interface.

Features

• Generate quotations automatically
• Store and manage product information using SQLite
• Generate downloadable PDF quotations
• User-friendly web interface
• Organized project structure
• Fast and efficient quotation creation

Project Structure

quotation-agent/
│
├── app.py                 # Main application
├── chatbot.py             # Chatbot functionality
├── database.py            # Database operations
├── models.py              # Database models
├── pdf_generator.py       # PDF quotation generation
├── products.db            # SQLite database
├── utils.py               # Utility functions
├── requirements.txt       # Project dependencies
├── README.md              # Project documentation
├── templates/             # HTML templates
├── static/                # CSS, JavaScript and images
├── pdfs/                  # Generated quotation PDFs
└── .gitignore

Prerequisites

• Python 3.8 or later
• pip (Python Package Manager)

Installation

1. Clone the Repository

git clone https://github.com/AgentRoomAI/Quotation-Generation-Agent.git
cd Quotation-Generation-Agent

2. Create a Virtual Environment

python -m venv .venv

3. Activate the Virtual Environment

Windows

.venv\Scripts\activate

Linux/macOS

source .venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

Running the Application

Start the application by running:

python app.py

After the server starts, open the URL displayed in the terminal (typically http://127.0.0.1:5000) in your web browser.

How to Use

1. Launch the application.
2. Enter customer and quotation details.
3. Select the required products.
4. Generate the quotation.
5. Download the quotation as a PDF.

Technologies Used

• Python
• Flask
• SQLite
• HTML
• CSS
• JavaScript
• ReportLab (for PDF generation)

Dependencies

Install all required packages using:

pip install -r requirements.txt

Author

Aman V

License

This project is developed for educational and internship purposes.