AI Agent Driven Engineering Process Automation for SAFEbuilt

Challenge
SAFEbuilt, which delivers essential community development services such as code compliance, planning, zoning, and building inspections, faced significant hurdles managing a vast and complex set of engineering drawings. The challenge was amplified due to:
- Intricate drawings with detailed labeling difficult to classify manually.
- Classification processes demanding substantial domain expertise and specialized knowledge.
- The need for a scalable, efficient system to handle thousands of drawings accurately and swiftly.
SAFEbuilt approached Mahusai Global Partners (MGP) seeking a cutting-edge AI solution to streamline drawing classification, improve operational efficiency, and reduce reliance on manual processes.
Solution
MGP developed an advanced AI Agent powered by Optical Character Recognition (OCR) and Machine Learning (ML). This intelligent AI Agent automatically interprets text and images, significantly simplifying the classification and management of complex engineering drawings.
The AI Agent streamlined workflows, reduced processing times, and minimized manual intervention.
Technology
- Frontend: ReactJS
- Backend Framework: Django REST
- Programming Language: Python
- AI Technology: Google Vision API
- Infrastructure: AWS EC2, AWS EKS, Redis
- Storage: Google Cloud Storage, AWS S3
- Task Management: Celery
- Database: Amazon RDS
Results
Implementing MGP’s AI-driven automation solution enabled SAFEbuilt to achieve substantial operational improvements:
- Accelerated project timelines due to faster and more accurate drawing classifications.
- Improved project budget adherence by significantly reducing manual labor costs.
- Enhanced quality control through precise and consistent classification outcomes.
SAFEbuilt successfully increased its capacity to complete more projects efficiently, meeting deadlines and budgetary requirements consistently.
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