Stroke Guard: RP students’ AI app detects early signs of stroke with 97% accuracy

(Photo credit: Lianhe Zaobao)

“What if a user makes a funny face?” This was one of the questions an RP mentor posed to Jolin Tan and her teammates as they developed Stroke Guard, an AI-powered app designed to detect early signs of stroke. As Jolin shared in a recent Lianhe Zaobao interview, the question challenged the team to think critically, refine their technology and develop a solution that could make a real difference.

Inspired by her experience caring for a family member who fell ill, the School of Engineering alumna and her team developed an app that uses facial analysis and arm movement detection to identify possible stroke symptoms, achieving 97% accuracy in testing.

Through RP’s Entrepreneurial Immersion Programme, the team gained access to seed funding, mentorship and industry connections to turn their idea into a promising innovation.

Their collaboration with Care Corner Singapore, involving seniors at Active Ageing Centres, also demonstrates how technology and community partnerships can come together to address real needs in social and community care.

Entrepreneurship at RP is more than starting a business. It is about building capabilities, nurturing innovation and empowering students to create meaningful impact in their communities.

Read the team’s feature in Lianhe Zaobao (opens in new tab) and see how a personal experience sparked an idea that grew into an app with the potential to save lives.