TinyVitals
Link to open source: https://github.com/abdul-rahman-1/TinyVitals
Link to Live Project: https://tinyvitals.netlify.app/
TinyVitals is designed to make newborn health screening simple, accessible, and affordable especially in rural and underserved areas where pediatric care is limited. Using AI and computer vision, it allows parents, healthcare workers, and midwives to detect early signs of conditions like jaundice or malnutrition from a simple photo.
We built TinyVitals to bridge the gap between technology and neonatal healthcare by transforming an ordinary smartphone into a powerful diagnostic assistant powered by Google’s AI tools (TensorFlow and Gemini). It ensures newborns receive timely attention before minor symptoms become serious.
For others, TinyVitals serves as both a life-saving early detection tool and an educational companion, empowering families and health workers with instant insights, awareness, and peace of mind. Its low-cost, web-based design makes it scalable for hospitals, NGOs, and community health programs worldwide.
This build was uploaded as a hackathon project
