AI Agent for Extracting Data from PDF and Automating Data Entry

This project focuses on building an AI-powered automation workflow using n8n to eliminate manual data entry and improve efficiency.

The system is designed to process PDF files such as invoices by analyzing their content using an AI Agent, extracting key information, and automatically transforming it into structured, organized data in table format.

The workflow demonstrates the integration of AI models with automation tools to handle real-world business tasks, reducing human error and saving significant time. It reflects a practical understanding of designing intelligent workflows that can read, interpret, and process unstructured data into usable insights.

This solution can be applied in various domains such as finance, administration, and document processing, making it a scalable and valuable automation use case.