AMAL KISHOR

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AK.

AI Document Orchestrator

AI-driven document processing and automation pipeline.

An AI-powered application that extracts structured data from documents using Groq (Llama 3), and automates workflows through n8n to trigger email notifications. Designed as an end-to-end automation pipeline from file upload to AI processing and delivery.

AI Document Orchestrator screenshot

Tech Stack

React 19ViteTailwind CSSAxiosNode.jsExpress.jsMulterpdf-parseGroq API (Llama 3)n8nGmail API

Key Features

  • Extracted structured data from PDF and text documents using AI
  • Integrated Groq Llama 3 for fast document analysis
  • Automated workflows using n8n webhooks
  • Implemented email automation with Gmail integration
  • Built end-to-end pipeline from upload → AI → automation

Challenges

  • Handling file parsing for multiple document formats
  • Ensuring structured AI output from unstructured data
  • Integrating external automation tools (n8n) reliably

Key Learnings

  • Learned real-world AI pipeline architecture
  • Gained experience with workflow automation tools
  • Improved backend integration with external services

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Interested in this project?

Check out the live demo or browse the source code on GitHub.