Project AiSwARYAM
AI for Sustainable Infrastructure and Resource Planning, Analysis and Monitoring.
AI for Sustainable Infrastructure and Resource Planning, Analysis and Monitoring.
We are actively seeking opportunities to connect with Partners, Collaborators, and Clients who share our vision and can contribute to our growth and success. Additionally, we are looking for Funding to support our ongoing projects, expand our capabilities, and bring innovative solutions to the market. Whether you're interested in forming strategic alliances, collaborating on projects, engaging as a client, or providing financial support, we welcome the chance to explore how we can work together for mutual benefit.
Reach out at : cpm-ai-coe@iith.ac.in
Our overall project seeks to assist urban local bodies and government agencies in monitoring, analyzing, and planning the sustainable growth of urban infrastructure and resources usingstate-of-the-art AI solutions and services. While there is increased availability of data thanks towidespread digitization efforts, there is a lack of corresponding user-friendly AI tools for infrastructure/resource monitoring and analysis accessible to diverse stakeholders in the government.
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.
Explore our ongoing projects.
A unified dasboard for Hotspot detection providing critical and actionable AI insights across verticals such as air pollution, traffic congestion and traffic accident.
Waste segregation using computer vision and AI provides cheap and highly scalable solution. First Indian image dataset for waste management – to be released publicly.
A digital twin for Academic Block A of IIT Hyderabad has been developed to monitor and analyze energy consumption in real-time. This AI-driven digital twin offers a scalable, intelligent solution for real-time monitoring, optimization, and proactive maintenance across the campus.
We will establish an AI technology stack with reusable modules and APIs to ingest data from diverse sources, including IUDX, Open Data Portal, AMPLIFI Portal, and social media. The stack will focus on predictive modeling and anomaly detection, with integrated modules for explainability, fairness, and privacy. Techniques like federated learning and edge computing will be applied, and the design will be validated across sectors.
Our consortium 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.
Reach out to us for any inquiries or feedback.
Address : IITH Road, Near NH-65, Sangareddy, Kandi, Telangana 502285
Email : cpm-ai-coe@iith.ac.in