Tulsa AI-Powered Blight
Detection System

Advanced property risk analysis for urban planning and community development

University of Tulsa Center for Real Estate Studies

AI-Powered Blight Detection System

Supporting Tulsa's goal to reduce blighted properties by 60% by 2028 through intelligent property risk analysis and community-centered intervention strategies.

Our Mission

Identify at-risk properties before they become community burdens, enabling proactive intervention and strategic investment in neighborhood revitalization across North Tulsa.

Risk Assessment

Early identification of properties showing decline signs, analyzing structural conditions, enforcement cases, and financial indicators.

Community Partnership

Collaborative development with Housing Forward and City of Tulsa, focusing on InvestNorth area residents and neighborhood needs.

Geographic Analysis

Spatial analysis with PostGIS integration for neighborhood-specific insights and targeted intervention strategies.

Smart Monitoring

Continuous tracking of 35,000+ enforcement cases and property conditions with real-time notifications for emerging concerns.

Strategic Investment

Data-driven insights for resource coordination and development programs, maximizing community investment effectiveness.

Research Impact

Contributing to Journal of Housing Economics research while providing students real-world AI and community development experience.

Academic Leadership

Dr. Cayman Seagraves

Assistant Professor of Finance

University of Tulsa

Dr. Meagan McCollum

Associate Professor of Finance

University of Tulsa

In partnership with Housing Forward and the City of Tulsa

University of Tulsa Center for Real Estate Studies • TURC Program

Access the System

Sign in with University of Tulsa credentials to access property risk analysis tools and contribute to community-driven revitalization efforts.

Tulsa Blight Detection System