Overview

Our client, a German company, needed a custom AI solution to automate document generation from complex, multi-page PDFs while adhering to ÖNORM legal standards. Existing AI tools such as ChatGPT and Gemini struggled with dynamic content, varying position names, and PDFs exceeding four pages. Bacancy’s AI developers and data scientists designed a trainable system capable of learning PDF structures, accurately extracting positions, and generating compliant offers. The system includes a user dashboard for seamless interaction and dynamic document creation.

Technical Stack

  • Python
  • FastAPI
  • Custom NLP models
  • PyPDF2
  • PDFMiner
  • React.js
  • AWS EC2
  • Airflow

    • Industry

    Public Services

  • region

    • Region

    Germany

  • project-size

    • Project Size

    Non-Disclosable

Highlights

Trainable AI system for accurate extraction of positions from multi-page PDFs

Handles dynamic content and varying position names without errors

Generates ÖNORM-compliant documents automatically

User dashboard for managing PDFs, reviewing outputs, and generating reports

Challenges & Solutions

Sending SMS to thousands of recipients at once caused delays and undelivered messages.

  • Solution: We built a robust backend system with message queuing and optimized workflows to ensure messages were sent quickly and reliably, even for campaigns with up to 50,000 contacts.

Lack of visibility into delivered or failed messages made tracking performance difficult.

  • Solution: We implemented real-time tracking using webhooks and created a dashboard showing the status of each message, including error codes and reasons for failure, giving full control over campaigns.

The client needed a simple and intuitive interface for managing messaging campaigns.

  • Solution: We developed a clean, user-friendly interface with CSV uploads, message previews, and visual delivery reports to make complex tasks straightforward for all users.

Protecting sensitive data and controlling access to messaging features was critical.

  • Solution: We added optional login protection and access controls. Our data scientists ensured secure handling of analytics and sensitive information, following best practices for encryption and compliance.

Core Features

  • PDF upload and parsing for multi-page and complex documents
  • AI-powered extraction engine for precise reading of positions and dynamic content
  • Automated document generation compliant with ÖNORM standards
  • Centralized user dashboard to manage PDFs, review AI outputs, and track document history
  • no.-of-resources

    • No. of Developers

    05

  • time-frame

    • Time Frame

    April 2025 - September 2025

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