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Project Title:
Automated AI Document & Data Extraction Pipeline (PDF & Image Processing)
Project Description:
I build end-to-end automated pipelines that extract, parse, score, and structure data from complex PDF documents and images using AI (OpenAI/ChatGPT) and workflow automation tools (Make / n8n). This solution replaces manual data entry with fast, accurate, and structured database exports.
Workflow Architecture:
Payload Preparation (Build Match Prompt): Structure raw input data, image files, or PDF documents into clean JSON payloads for AI processing.
Intelligent AI Processing (Score & Rank Matches): Leverage OpenAI to analyze, score, extract, and rank critical information from unstructured files with high accuracy.
Data Transformation & Parsing: Automatically parse AI output responses into individual rows and pivot key data points (e.g., Top 5 Matches/Results) into clean structured rows.
Database & Spreadsheet Export: Seamlessly save and append finalized match evaluations and extracted data directly into Google Sheets or custom CRMs.
Technologies Used: OpenAI API, Make / n8n Automation, JSON Parsing, Google Sheets, Python/Webhooks.
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