Reprographics Automation System

This project automates the reprographics (printing) process using a web application built with Flask, MongoDB, and Google SSO. It allows users to submit print jobs, verify payments, and manage a print queue efficiently.

Demo

Demo Video

To better understand how the system works, watch the demo video below:

Link: https://drive.google.com/file/d/1LU1_ihK3KvxIj1UzAfuPLG3Ozp_OBxKv/view?usp=sharing

Login Page

PDF Upload Page

Payment Page

Summary Page

Admin Dashboard Page

Features

• User Authentication: Google SSO for secure login.
• Print Job Submission: Users can upload documents with details like the number of copies, black & white/color, and duplex printing.
• Payment Verification: Extracts receipt ID from the transaction screenshot using OpenCV and PyTesseract.
• Queue System: Documents are sent to a queue for manual verification and printing.
• MongoDB Integration: Stores user details, print job data, and transaction records.
• Organized Data Management: All submitted jobs and transactions are properly stored, reducing errors and improving efficiency.

How This Project Improves the Current Printing Process

Before implementing this system, the reprographics process was manual, leading to inefficiencies and delays. Now:

• Time Savings: The new system saves 2-3 minutes per print job by automating payment verification and job submission.
• Better Organization: All print jobs and payment records are systematically stored, reducing errors and improving accountability.
• Faster Verification: Instead of manually checking receipts, OCR technology extracts transaction details automatically.

Tech Stack

• Backend: Flask (Python)
• Frontend: JavaScript, HTML, CSS
• Database: MongoDB
• OCR Processing: OpenCV & PyTesseract
• Authentication: Google SSO

Installation

Prerequisites

• Python (>=3.8)
• MongoDB
• Google Cloud OAuth Credentials (for Google SSO)

Steps

1. Clone the Repository

   git clone https://github.com/J11tendra/FLAME-Reprographics.git
   cd reprographics

2. Set Up Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows, use 'venv\Scripts\activate'

3. Install Dependencies

   pip install -r requirements.txt

4. Configure Environment Variables Create a .env file in the root directory and add:

   MONGO_URI=mongodb://localhost:27017/reprographics
   GOOGLE_CLIENT_ID=your-google-client-id
   GOOGLE_CLIENT_SECRET=your-google-client-secret
   FLASK_SECRET_KEY=your-secret-key

5. Run the Application

   flask run

   The app will be available at http://127.0.0.1:5000/.

Usage

• Login with Google to access the portal.
• Upload documents and submit print jobs.
• Verify payments using transaction screenshots.
• Admins approve jobs from the queue and send them for printing.

Contributing

Feel free to fork the repository and submit pull requests.

License

This project is licensed under the GPL-3.0 license.