I built an AI powered document processing system that transforms unstructured PDFs (such as contracts, financial reports, and technical paperwork) into structured, actionable information. Using n8n as the automation backbone, I integrated Google Drive to detect new documents automatically, applied high fidelity text cleaning, and built a pipeline to extract and categorize context aware data with Google Gemini AI.

To make the processed data truly useful, I stored it in Supabase Vector Store for semantic search and developed a Telegram based inquiry interface that delivers exact, sourced replies in natural language. I also synchronized the results with Google Sheets to ensure full transparency and easy access for business teams.

This automation reduced human lookup time by 70%, streamlined compliance, legal, and financial workflows, and established a scalable, low maintenance solution for converting static information into interactive organizational knowledge.