This is a data science project that aims to extract information from images of invoices and answer user queries. The application is capable of processing invoices in different languages and is powered by Google's latest LLM Gemini pro vision. The app was built using the Streamlit web interface.

• Extracts information from images of invoices
• Capable of processing invoices in different languages
• Answers user queries related to the extracted invoice information

The main use case of this application is to extract invoice information that may not be in English and provide relevant answers to user queries in English.

• Google LLM Gemini pro vision
• Streamlit web interface

To run the application, you will need to have the following dependencies installed:

• Python 3.x
• Streamlit
• Google LLM Gemini pro vision

You can install the required dependencies using the following command:

bash pip install streamlit

To run the application, use the following command in your terminal: streamlit run app.py Once the application is running, you can upload an image of an invoice and ask queries related to the extracted information.

The app is deployed on the Streamlit Community Cloud and is hosted at the following URL: https://hargurjeet-gemini-invoice-image-extractor.streamlit.app/

If you would like to contribute to this project, please fork the repository and create a pull request with your changes.

This project is licensed under the MIT License.