Google Girl Hackathon SWE 2025 – Project Setup

Data Entry from Text File

Go to the project folder:

cd path/to/Google_Girl_Hackathon_SWE_2025/data_entry_from_text_file

Environment Configuration

Create a .env.local file in the root directory of your project and add the following environment variables:

• Firebase API keys
• Google AI Key
• AI Model: gemini-1.5-pro

Firebase Authentication Setup

Enable the Email/Password Sign-in Method in Firebase:

• Navigate to Firebase Console > Authentication > Sign-in Method.
• Enable Email/Password Authentication.
• Add your email and password to test user authentication.

Running the Development Server

Install dependencies and start the development server:

npm install  
npm run dev 
npm install -D tailwindcss postcss autoprefixer

Open http://localhost:3000 in your browser to view the application.

Database Structure (Firestore)

Collections Overview:

• users: Stores registered user emails.
• invoices: Stores invoice-related data.

AI Model Selection

Using Google Gemini AI

• The project utilizes Gemini-1.5-Pro for AI-based document processing and automation.
• Ensure your API key is configured in .env.local.

AI Processing Logic

Extracting Invoice Details

The AI extracts the employee name and invoice number from the given text.

{"invoice_no": null, "emp_name": null}

Example Input:

THE invoice_no is 123 and emp_name is abc.

Screenshot of website

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Data Entry from Image File (Deployed)

Document Processing System with OCR

A web application designed to streamline document processing for employees, featuring advanced Python-based OCR capabilities and intelligent data extraction.

Features

• OCR-powered bill processing using Tesseract
• Natural Language Processing for data extraction
• Interactive chat interface with AI responses
• Bill management and reporting
• Data visualization and export capabilities

Tech Stack

• Backend: Flask (Python)
• Database: PostgreSQL with SQLAlchemy
• OCR Engine: Tesseract with Python bindings
• NLP: spaCy for text processing
• Frontend: Bootstrap with dark theme
• AI Integration: Google Gemini API for chat

Environment Variables Required

Make sure to set up the following environment variables:

• DATABASE_URL: PostgreSQL database connection URL
• GEMINI_API_KEY: Google Gemini API key for chat functionality
• SESSION_SECRET: Secret key for Flask sessions

Setup Instructions

1. Go to the project folder:

   cd path/to/Google_Girl_Hackathon_SWE_2025/data_entry_from_image_file

2. Install required system dependencies:
   • Python 3.11
   • PostgreSQL
   • Tesseract OCR
3. Install Python dependencies:

   pip install -r requirements.txt

4. Set up environment variables (mentioned above).
5. Initialize the database:

   flask db upgrade

6. Run the application:

   python main.py

Deployment & Live Demo

Access the deployed version for image-based data entry:
🔗 Live Demo

Invoice Example

images/invoice.png

Screenshot of website

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request