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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