Intelligent Construction Scope Management System

Overview

A real estate platform provider enhanced their ProBidder AI system by implementing AWS Bedrock integration and comprehensive materials management capabilities and automating bill of materials generation. The solution included advanced input validation, project progress tracking with real-time visualization, and seamless integration with existing audio/video processing functionality, significantly improving operational efficiency and project management capabilities.

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.

The 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

Our 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 ModelAWS Aurora DBAWS LambdaReact.jsNode.jsRESTful APIs

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