top of page

Our Projects

At Compact City AI, our portfolio showcases innovative AI-driven geospatial solutions that redefine urban planning and smart city management. From enhancing community participation through mobile platforms to leveraging AI-infused GIS for transit and resilience, our projects employ cutting-edge technologies—from cognitive mapping and GIS‑ANN modeling to platform capitalism–based land governance. Each project is designed to integrate real-time data and machine learning insights, empowering planners, citizens, and governments to make informed, dynamic decisions about land use, transportation infrastructure, and urban ecosystems. Interested in exploring how AI can transform your city? Contact us to collaborate on custom GeoAI solutions tailored to your urban challenges.

Mobile-Based Community Participation in Smart Cities

This project explores the integration of mobile platforms to enhance community participation in smart cities. It proposes a scalable, data-driven model for inclusive urban governance through participatory technologies.
Publication: Parlewar, P. (2021). Applying mobile-based community participation model in smart cities. In Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Studies in Computational Intelligence, Springer.

AI for Infrastructure Rehabilitation

This research focuses on using AI to assess and rehabilitate infrastructure affected by vibrations and dynamic loads.

Platform Capitalism in Urban Land Management

This work presents a novel model using platform capitalism principles to optimize land management in smart cities, linking digital governance with urban development policy.
Publication: Parlewar, P. (2024, July). Platform capitalism based land management model for smart cities. International Symposium on Spatiotemporal Data Science, Virginia Tech & George Mason University.

Regenerating the 'Image of City' with OpenAI

This webinar presents OpenAI applications for reimagining visual and symbolic dimensions of urban spaces.
Presentation: Parlewar, P. (2025, February 12). Application of OpenAI for regenerating 'Image of City'. Webinars on Spatiotemporal Innovation, Harvard University.

AI-GIS Model for Public Transport

This project proposes a hybrid AI-GIS approach to optimize public transportation systems in Indian smart cities.
Publication: Parlewar, M., & Parlewar, P. (2023). AI GIS based public transportation model for smart cities. Journal of Institute of Town Planners, India.

​AI for Urban Resilience and System Management

This project emphasizes AI’s potential in building resilience through urban system monitoring, early warning systems, and adaptive infrastructure.
Presentation: Parlewar, P. (2025). Artificial Intelligence in urban system management and resilience building. Roorkee Urban Symposium 2025, IIT Roorkee.

Compact City AI

Our AI models are tailored specifically for urban challenges, combining advanced machine learning with real-time geospatial intelligence. We deliver actionable, location-specific insights that help planners and stakeholders make smarter, faster decisions. Partnering with us means integrating cutting-edge AI into your city strategy—with accuracy, transparency, and impact at the core.

Meijo University, 4-102-9 Higashi Ward, Nagoya, Japan 461-8534

+81-70537-31309

© 2025 AI for Compact Cities

bottom of page