AI for Connectivity Hackathon II: Building Resilient Networks 

Start

Aegis

RobinSrimal

Aegis offers a lightweight, cost-effective solution for predictive maintenance, designed to deliver high resilience even in the face of internet connectivity loss. Built entirely in TypeScript, the application is highly versatile, capable of running seamlessly on both mobile and desktop platforms. This cross-platform compatibility ensures that users can access predictive maintenance features regardless of their device, enhancing convenience and usability. One of the standout features of Aegis is its ability to perform inference directly in JavaScript, eliminating the need for complex server-side processing. Model updates are streamlined and efficient, requiring only a simple GET request to keep the system up-to-date with the latest improvements. This approach not only reduces operational costs but also ensures that the application remains functional even in low-connectivity environments, making it an ideal choice for industries where internet access may be intermittent or unreliable. By combining ease of use, low resource requirements, and robust performance, Aegis sets a new standard for predictive maintenance solutions.

Aegis provides a lightweight and low cost approach to predictive maintenance while providing high resilience to internet connectivity loss. 

"Aegis team on AI for Connectivity Hackathon II: Building Resilient Networks Hackathon"

Team Idea

Submission