Inspiration
We've learned about the BE FAST protocol—Balance, Eyes, Face, Arms, Speech, Time— critical for the early detection of strokes. Thus, with the help of advanced ai tools like google adk, we've programmed to streamline the procedures, making it more accessible to at-risk patients.
What it does
Designed to detect strokes within seconds for patients who are already at risk of strokes.
How we built it
Integrating multimodal AI agents and Kaggle datasets to
Challenges we ran into
We had trouble getting the accuracy because we weren’t able to use the actual ai agents, as well as being unfamiliar with data training with Kaggle
Accomplishments that we're proud of
Trained the datasets with 91% accuracy using the AI agents algorithm.
What we learned
We get to familiarize ourselves with advanced AI tools such as Claude, model training from Kaggle, detect facial asymmetry in real time with yolo. superbase
What's next for Ictus
Improve the agentic workflow, and implement Ictus on various hardware like apple watches, meta glasses to make it widely accessible.

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