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This Government Contract opportunity from Georgia was posted on June 12, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI-Based Pavement Distress Analysis & Scoring

Closed
State & Local

Contract Overview

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This contract involves the development and implementation of an AI and machine learning-based system to analyze pavement imagery for the City of Sandersville, Georgia. The primary objective is to detect, classify, and score various pavement distresses such as cracking and potholes, ultimately generating Pavement Condition Index (PCI) metrics. This advanced analytical approach aims to enhance the accuracy and efficiency of pavement condition assessments, supporting infrastructure maintenance decisions. Issued as a subcontract under NAICS code 541715, the contract was posted in June 2026 with a response deadline in late August 2026. Although specific location details and points of contact are not provided, the contract focuses on serving the city's needs through cutting-edge technology for pavement distress evaluation and scoring. The integration of AI/ML techniques is intended to streamline data processing and improve the reliability of pavement condition evaluations.

General Info

Develop AI/ML system to analyze and score pavement distress for Sandersville, Georgia infrastructure.

Documents

This scope was carved out of 2026-10.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

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2026-10 PAVEMENT MANAGEMENT PROJECT

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGeorgia → City of Sandersville
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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AI/ML-driven analysis of pavement imagery to detect, classify, and score distress types (e.g., cracking, potholes) and generate Pavement Condition Index (PCI) metrics.

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Miguel
Hillary
Keith Deutsch
Christine

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