Built on the bleeding edge of
multimodal AI.
HealthBridge leverages Gemini 3's native multimodal capabilities to process video, audio, and text simultaneously with unprecedented speed and accuracy.
Native Multimodality
Unlike traditional systems that stitch together separate speech-to-text and vision models, HealthBridge uses Gemini 3's native understanding of video and audio streams. This reduces latency and improves context retention across modalities.
Real-time Performance
Optimized for the edge, our pipeline achieves sub-100ms latency for sign language translation. We utilize WebRTC for zero-lag streaming and efficient frame sampling to minimize bandwidth usage without resolving to cloud-only processing.
Long Context Reasoning
With Gemini 3's extended context window, HealthBridge can reference a patient's entire medical history during the consultation, flagging contraindications and suggesting personalized care plans in real-time.
Privacy-First Design
HealthBridge is a prototype built with privacy in mind. Session data is processed in real-time and is not stored or used for model training. As the project matures, we aim to meet clinical data-handling standards.