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AI-Driven Exam Integrity Software Services

Active

State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The AI-Driven Exam Integrity Software Services subcontract involves the development and maintenance of automated proctoring components for prime contractors supporting the Pennsylvania State System of Higher Education. The scope of work focuses on enhancing academic integrity through the implementation of facial recognition algorithms for identity verification, screen recording tools, and behavior analysis systems designed to detect dishonesty. Technical execution requires the use of AI/ML frameworks and computer vision libraries to create automated flagging systems. The final deliverables consist of functional AI monitoring modules that must be fully integrated into the existing platform to ensure secure and verified examination environments.

General Info

Subcontract for AI proctoring software featuring facial recognition and behavior analysis for academic integrity.

Agency

Pennsylvania State System of Higher Education (PASSHE)

NAICS

541511 - Custom Computer Programming Services

Place of Performance

USA

Set-Aside

NONE

Documents

This scope was carved out of DOC1555879052.

The full solicitation package (11 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Online Proctoring Solutions

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Timeline

PostedJan 1

subcontract

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Organization & Contact Information

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AgencyPennsylvania State System of Higher Education (PASSHE)

ContactsNo contacts available

OfficeN/A

Organization / AgencyPennsylvania State System of Higher Education (PASSHE)

Office AddressN/A

ContactsNo contact information available

Full Description

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Develops and maintains automated proctoring components for prime contractors on Pennsylvania State System of Higher Education (PASSHE) projects. Implements facial recognition algorithms for identity verification, develops screen recording and behavior analysis tools to detect academic dishonesty, and creates automated flagging systems. Requires AI/ML frameworks and computer vision libraries. Delivers functional AI monitoring modules integrated into the platform.

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