Inspiration
Alzheimer’s patients often struggle with daily routines, memory recall, and expressing new symptoms, leaving families and doctors unaware of issues until it’s too late. We wanted to build a solution that acts as both a health coach and memory companion, while keeping families connected in real time.
What it does
The Alzheimer’s AI Companion is a web-based platform that supports patients with reminders, memory reinforcement, and simple health check-ins. It analyzes speech/text to detect confusion or symptoms, generates memory summaries, and alerts family or doctors in emergencies. Families and doctors can view secure dashboards with logs, memory archives, and supportive messages.
How we built it
We developed a responsive web app using modern frontend frameworks, with a secure backend for data storage and APIs. AI/NLP models analyze speech and text, while integrations with SMS/WhatsApp enable real-time emergency alerts. The system connects patient and caregiver interfaces through a unified backend.
Challenges we ran into
Key challenges included managing sensitive medical data securely, preventing accidental exposure of API keys, handling real-time alerts, and creating a simple interface that patients with memory difficulties can comfortably use.
Accomplishments that we're proud of
We built a functional prototype that connects patients, families, and doctors through AI-powered monitoring. Our system successfully combines memory recall, health tracking, and emergency alerts into one platform that can improve daily life and reduce risks for Alzheimer’s patients.
What we learned
We learned how to integrate AI for real-world healthcare use cases, design with patient accessibility in mind, and ensure data privacy while handling sensitive health information. We also explored how small interactions, like reminders and memory prompts, can make a big difference in patient care.
What's next for Alzheimer’s AI Companion
We plan to expand by adding mobile app support, integrating wearable device data (heart rate, sleep, activity), improving AI symptom detection, and conducting trials with caregivers and healthcare professionals to validate its impact in real-world settings.
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