Project AIS(w)ARYAM
AI for Sustainable Infrastructure and Resource Planning, Analysis and Monitoring.
AI for Sustainable Infrastructure and Resource Planning, Analysis and Monitoring.
List of partners.
Explore our institute's wide range of Projects..
Smart Cities for Emerging Countries based on Sensing, Networking and Big Data Analysis of Multimodal Regional Transport System.
India's first Autonomous Navigation Testbed (Aerial & terrestrials) facility
“Indigenous End-to-End 5G Test Bed Project”. This project focuses on building an end-to-end test bed setup with 5G prototypes for a real-world 5G deployment..
Center advancing sustainable urban development through multidisciplinary research in water, infrastructure, sanitation, and future city technologies, including sociology of digital societies and innovative communication tools.
Discover our story in providing AI for Sustainable Infrastructure.
Our core objective is to develop an AI tech stack framework for urban
infrastructure monitoring, planning and analysis
Hotspot (or anomaly) detection a well-known use case of AI-ML
methods, with many existing methods allowing us to focus on translational
research.
Our objective is designed for scalability, accommodating heterogeneous data from different municipal bodies. We aim to license the framework, data, insights, and policy recommendations to commercial entities for post-project sustainability. A decision theatre, offering AR-VR visualizations of urban infrastructure with geospatial maps, is also envisaged and can be commercialized for further support.
Our project envisions an AI CoE providing an integral AI fabric to support urban sustainability, rather than a vertical focused effort. A robust framework is planned, based on a feedback loop between the domain, users, and technology.
Lack of user-friendly AI tools for infrastructure/resource monitoring and analysis, accessible to diverse stakeholders Efficient and fast identification of hotspots across sectors of urban governance (e.g. carbon footprint, mobility, buildings, flooding, pollution/waste management)
IIT Hyderabad Core of ~20 faculty across CSE, AI, EE, MAE, CE, ChE, Des, E&M depts Overall involvement from 40+ faculty
Reach out to us for any inquiries or feedback.
IITH Road, Near NH-65, Sangareddy, Kandi, Telangana 502285
cpm-ai-coe@iith.ac.in