Predictive diagnostics

Overview

Access to accurate newborn health data remains a challenge in Tier-2 and Tier-3 regions, especially where home deliveries are common. This project focuses on using artificial intelligence to bridge that gap through non-invasive diagnostics.

What we’re building

We are developing an AI-driven diagnostic system that can estimate critical newborn health indicators such as weight and key physical parameters using a single image. The system is designed to work in low-resource environments without requiring specialized medical equipment.

Why it matters

Early detection of health risks in newborns can significantly improve clinical outcomes. By enabling hospitals and healthcare workers to capture essential data quickly, this solution has the potential to strengthen public health infrastructure at scale.

Current status

• Prediction accuracy exceeding 99% in controlled evaluations
• Actively improving the system in collaboration with hospitals and UNICEF
• Designed for real-world deployment in decentralized healthcare settings