AI-Driven Data Automation
Year
Client
Services
Technology
Built an AI-powered backend platform that automates text extraction from business documents using OpenAI OCR, dynamically maps the extracted data, and syncs structured records to Google Sheets for reporting. The system streamlines tedious data entry tasks via chatbot uploads, improving workflow automation. It supports multiple image formats and uses validation layers to ensure only accurate data enters the pipeline.
Deployed using Docker on GCP Cloud Run, the application supports real-time processing, clean architecture with NestJS, and scalable performance to handle large volumes of image data. Reduced manual input time by over 90% for businesses while increasing operational accuracy through intelligent field mapping.
I have developed the complete backend of this project, including the integration of OpenAI OCR and Google Sheets API. The system is designed to be user-friendly and efficient, making it a valuable tool for businesses.
Due to the sensitive nature of this work, I can't showcase it publicly.
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