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Letting Data Speak!
Case Study
Intelligent Construction Scope Management System
About the Client
A real estate platform provider that connects industry professionals, offering tools and resources for efficient property transactions with a focus on enhancing transparency, trust, and collaboration. The company's ProBidder platform utilized Claude model to collect and analyze user inputs for generating contract bid reports for subcontractors.
Challenge
The client's existing platform faced limitations in its AI capabilities and lacked comprehensive project management features. System lacked essential functionality for materials management and project progress tracking, requiring manual processes that were time-consuming and error-prone. The platform needed enhanced input validation to detect and reject nonsensical user inputs, better integration with existing audio and video processing capabilities, and the ability to generate bill of materials automatically from scope of work documents.
Key Results
Automated bill of materials generation using AI, reducing manual processing time by 50%
Added input validation system with AI, reducing gibberish input
Implemented comprehensive materials management system with CSV upload capabilities
Deployed project progress tracking functionality with real-time visualization
Solution
AI-Powered User Input Validation
Established secure API connections between the ProBidder application and AWS Bedrock services
Developed enhanced input validation functionality to detect and reject gibberish or nonsensical user inputs with intelligent prompting for clarification
Maintained English-Spanish translation capabilities for bilingual scope of work generation
Integrated AWS Bedrock with existing audio and video processing functionality for seamless multimedia input processing
Implemented necessary database modifications and backend services to support the enhanced AI processing
Materials Management and Project Tracking System
Developed a comprehensive user interface for uploading CSV files containing material master lists
Configured AWS Aurora DB for optimal material data storage with truncate-and-replace functionality for list updates
Created intuitive project progress tracking UI components displaying tasks and real-time completion status
Implemented manual task completion marking with percentage completion visualization organized by project sections
Developed responsive frontend components ensuring consistent user experience across all devices
Integrated materials management system with existing authentication and authorization frameworks
Automated Bill of Materials Generation
Implemented intelligent BOM generation using AWS Bedrock by processing scope of work through LLM
Developed automated material identification system that analyzes scope requirements against master material lists
Integrated BOM generation workflow in the application
Technologies Used
AWS Bedrock Claude Model
AWS Aurora DB
AWS Lambda
React.js
Node.js
RESTful APIs
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