Open Innovation Team EclipseSubmitted July 18, 2026

RoadGuard — an AI-powered road damage reporting and safe-routing assistant

An MCP app on the Model Context Protocol built by Team Eclipse at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

CityAI – Agentic AI-Powered Smart Road Infrastructure Assistant Overview CityAI is an Agentic AI-powered smart city solution designed to improve the way citizens and municipal authorities handle road infrastructure issues. Every day, people encounter potholes, road cracks, and damaged road surfaces that can lead to accidents, vehicle damage, and traffic disruptions. Unfortunately, existing reporting systems are often slow, fragmented, and lack transparency, making it difficult for citizens to know whether their complaints are being addressed. CityAI bridges this gap by combining Agentic AI, Computer Vision, MCP (Model Context Protocol), and route optimization into a unified platform that enables intelligent road damage reporting, complaint tracking, safer navigation, and data-driven infrastructure management. Problem Statement Road infrastructure issues remain one of the most common urban challenges. Citizens often struggle to report road damage efficiently, while municipal authorities receive large numbers of complaints without a clear mechanism for prioritization. Current systems face several limitations: Manual complaint registration processes Lack of transparency regarding complaint status No automated assessment of damage severity Inefficient prioritization of repairs Limited visibility into city-wide infrastructure health No route recommendations that consider road conditions As a result, dangerous road conditions remain unresolved for longer periods, creating risks for commuters and reducing public confidence in civic reporting systems. Our Solution CityAI introduces an intelligent citizen-to-gove

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Team Team Eclipse

  • Sri AbhinayanaLead

  • Barla Diya Deekshitha Srivalli

  • Anil Vardhan Ch

  • Neeraj Madhavarapu

Frequently asked questions

What does RoadGuard — an AI-powered road damage reporting and safe-routing assistant do?
CityAI – Agentic AI-Powered Smart Road Infrastructure Assistant Overview CityAI is an Agentic AI-powered smart city solution designed to improve the way citizens and municipal authorities handle road infrastructure issues. Every day, people encounter potholes, road cracks, and damaged road surfaces that can lead to accidents, vehicle damage, and traffic disruptions. Unfortunately, existing reporting systems are often slow, fragmented, and lack transparency, making it difficult for citizens to know whether their complaints are being addressed. CityAI bridges this gap by combining Agentic AI, Computer Vision, MCP (Model Context Protocol), and route optimization into a unified platform that enables intelligent road damage reporting, complaint tracking, safer navigation, and data-driven infrastructure management. Problem Statement Road infrastructure issues remain one of the most common urban challenges. Citizens often struggle to report road damage efficiently, while municipal authorities receive large numbers of complaints without a clear mechanism for prioritization. Current systems face several limitations: Manual complaint registration processes Lack of transparency regarding complaint status No automated assessment of damage severity Inefficient prioritization of repairs Limited visibility into city-wide infrastructure health No route recommendations that consider road conditions As a result, dangerous road conditions remain unresolved for longer periods, creating risks for commuters and reducing public confidence in civic reporting systems. Our Solution CityAI introduces an intelligent citizen-to-gove
Who built RoadGuard — an AI-powered road damage reporting and safe-routing assistant?
RoadGuard — an AI-powered road damage reporting and safe-routing assistant was built by team Team Eclipse at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the Open Innovation track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.