Context-Aware AI for Automated Financial and Material Reconciliation in Construction Projects

This project aims to create an AI-powered system that brings together financial records and real-world construction data into one clear, easy-to-use platform. The system will automatically read invoices, receipts, and delivery notes and link them to information about where materials are delivered and used on job sites. By connecting these data sources, the organization will gain a real-time view of project costs, material flow, and budget performance. This will make it easier to track spending, verify deliveries and identify issues early, The partner organization will benefit from faster reporting, more accurate cost tracking, and better control over resource, leading to improved efficiency, lower waste, and stronger financial and operational decision-making across all projects.

Faculty Supervisor:

Arghavan Asad

Student:

Partner:

Rave Track

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Algoma University

Program:

Accelerate

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