RECEIPTIFY - OCR-Based Expense Tracking Application

Project Description

RECEIPTIFY is a Streamlit-based application designed to help users track and analyze their expenses effortlessly. Utilizing OCR (Optical Character Recognition) technology, this application can scan shopping receipts, convert the extracted data into structured tables, and automatically generate expense visualizations.

Key Features

• Automatic Receipt Scanning: Upload receipt images, and the app will extract the relevant data.
• Data Visualization: Display expenses based on store, category, and daily trends.
• Export to Excel: Download scanned data in Excel format.
• Google Sheets Integration: Save expense data directly to Google Drive.
• SLA Compliance Analysis: Analyze expenses using statistical methods and AI.

System Architecture

1. Upload receipt image to the application.
2. OCR Processing using an AI model to extract and structure the receipt data.
3. Data Cleansing & Formatting using Pandas.
4. Data Visualization with Plotly and Streamlit.
5. Save Data to Google Sheets or export as an Excel file.

Installation & Running the Application

1. Clone the Repository

git clone https://github.com/username/receiptify.git
cd receiptify

2. Install Dependencies

Ensure Python and pip are installed, then run:

pip install -r requirements.txt

3. Run the Application

streamlit run app.py

Technologies Used

• Python (Streamlit, Pandas, OpenAI, Plotly, PIL)
• OCR API (Hugging Face + OpenAI GPT-4 Turbo)
• Cloud Storage (Google Sheets API)
• Visualization (Plotly, Streamlit Charts)

Folder Structure

receiptify/
│── app.py          # Main Streamlit application
│── home.py         # Home page
│── program.py      # Data analysis and visualization module
│── README.md       # Project documentation
│── requirements.txt # Project dependencies
│── .env            # API Key for OpenAI (if needed)
└── assets/         # Folder for images or additional data

Contributions

We welcome contributions from the community! Feel free to fork this repository and submit a Pull Request if you’d like to add features or fix bugs.

License

This project is licensed under the MIT License.

Contact & Portfolio

If you have any questions or would like to connect, please reach out:

• 📧 Email: ysmnaraindas.work@gmail.com
• 💼 LinkedIn: linkedin.com/in/yasminenaraindas-setiadi

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