HealthNET AI addresses the critical issue of network outages in underserved healthcare facilities, which affect 40% of clinics and delay care for 25 million patients annually. By leveraging AI-driven analytics, decentralized technology, and machine learning, the platform predicts and mitigates network outages, ensuring seamless data synchronization and uninterrupted connectivity. Key features include AI-powered network resilience, emergency response modes, and peer-to-peer bandwidth sharing. HealthNET AI also prioritizes data security through AI-powered threat detection and encryption. The platform aims to reduce mortality by 30% and operational costs by 25%, while enabling equitable access to healthcare in remote and disaster-prone regions.
Category tags:"A well explained problem. From my reading of the code it seems you are using linear regression to make predictions which might be an overly simplistic way to model the network"
Thomas Blake
CTO
"There are similare solutions on the market. I am keen to learn more about what makes yours different. But it was a very proffessional and clear presentation."
Jenny Tillgren
Venture Scout and Advisor