.png&w=256&q=75)
Rifah Tasnia Orthi@rifahtasniaorthi
1
Events attended
1
Submissions made
Bangladesh
1 year of experience
About me
Rifah Tasnia Orthi is a young Bangladeshi AI innovator, founder, and builder of “AI Health Guardian” — an offline multimodal AI health-scanner designed to democratize healthcare for underserved communities. She blends vision, courage, and relentless self-learning to build AI systems that work in real-world constraints — low-resource devices, poor connectivity, and medically underserved regions. She is passionate about agentic AI, healthcare intelligence, robotics, and global impact, focusing on transforming everyday health gaps into accessible, AI-powered solutions. Her core belief: “Courage and obsession can beat anything — and no one has the dare to stop me.” Rifah is currently scaling her AI MVP toward medically validated performance and preparing for global stages like Microsoft Imagine Cup, NASA Space Apps, UN SDG challenges, and YC Startup School.
🤝 Top Collaborators
🤓 Latest Submissions
AI Health Guardian - Offline Multimodal Care
AI Health Guardian is an offline multimodal agentic health scanner designed for low-resource communities where cloud-based healthcare tools cannot operate. It combines vision analysis, cough and breath audio models, rPPG signals, and adaptive questionnaires to produce instant health insights directly on-device—no internet, no servers, no cost barriers. Built for underserved populations, it addresses anemia, respiratory issues, stress, heart-rate anomalies, nutrition risks, and preventive care using edge-optimized ML pipelines. The system also initiates autonomous agentic tasks, such as guiding users, adapting tests, and delivering personalized next-step recommendations. By eliminating cloud dependency and enabling medical screening on any affordable smartphone, AI Health Guardian bridges a critical global gap—bringing privacy-safe, accessible diagnostics to rural, remote, and disconnected environments. This project demonstrates how agentic AI can transform early detection and public health at scale.
23 Nov 2025
