🌿 Inspiration
- We saw how easily older adults living alone forget symptoms and miss meds, while doctors work with memory, not data.
- We wanted to build something that feels like a kind, tech‑savvy relative quietly looking out for you, not a cold robot.
âś… What it does
- Silene Systems helps older adults track how they feel each day using simple voice or tap‑friendly check‑ins.
- It turns daily logs into a clear health timeline, AI‑generated insights, and a one‑page summary for doctors, and optionally shares gentle alerts with family.
đź§± How we built it
- We used Next.js + Tailwind for the frontend, Supabase for the backend and auth, and Claude API for summarisation and pattern‑spotting.
- Voice check‑ins are powered by ElevenLabs or Web Speech, and the whole flow is built around a simple database of user logs, meds, and alerts.
⚠️ Challenges we ran into
- Translating complex medical intuition into simple, non‑diagnostic AI prompts without overstepping.
- Balancing rich insights for family with strict privacy and consent for the user, especially around “always‑on” monitoring.
- Keeping the UI truly elderly‑friendly under time pressure—large buttons, simple language, and zero jargon.
🏆 Accomplishments that we’re proud of
- We built a working voice‑first companion that actually understands patterns in symptoms, meds, and activity.
- We created a respectful, privacy‑first flow that connects family and carers without surveillance‑style design.
- Our one‑page doctor summary already feels like a meaningful tool that can save time in real‑world clinics.
📚 What we learned
- Elderly users don’t need “smart” tech; they need simple, predictable, and kind tech.
- Ethics in health AI isn’t an add‑on at the end—it has to shape every screen and every API call from day one.
- Good UX and good ethics are the same thing when you’re building for vulnerable or isolated users.
🔮 What’s next for Silene Systems
- Integrate with wearables and simple BP / step‑count devices to capture more objective data.
- Explore safe, consented pathways to share anonymised datasets with research teams, improving rare‑disease and chronic‑condition insights.
- Expand into Irish‑specific features: stronger HSE‑style reporting, GP‑friendly PDF exports, and multilingual support for non‑English‑speaking elders.


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