I-am-Tofunmi/cavista-hackathon-2026-technest

A voice-first web health support system for elderly users built for Cavista Hackathon 2026. Features medication reminders, health check-ins, inactivity detection, caregiver alerts, and multilingual support in English, Yoruba, Igbo and Hausa. # ElderCare AI: From Data to Prevention A voice-first web-based health support system for elderly individuals that transforms daily interactions into preventive health insights. **Theme:** Data and Prevention - AI as Your Health Partner --- ## The Problem Elderly individuals face: - Missed medications - Undetected health decline - Poor symptom reporting - Delayed emergency response Complex health apps fail because elderly users struggle with: - Low digital literacy - Poor eyesight - Reduced motor skills - Cognitive decline --- ## Our Solution ElderCare AI combines: - **Voice-first interaction** - natural communication - **Minimal interface** - large buttons, no menus - **Passive data collection** - no manual entry - **AI analysis** - pattern detection and risk scoring - **Caregiver alerts** - early intervention before crises --- ## Target Users - **Primary:** Elderly individuals (60+) with limited tech experience - **Secondary:** Caregivers and family members monitoring remotely --- ## Core Features ### 1. Medication Adherence Monitoring - Voice/visual reminders - Simple "Taken" or "Later" response - Tracks missed doses and delay patterns - Alerts caregiver when adherence drops ### 2. Daily Health Check-In - Asks "How are you feeling today?" - Options: Good, Okay, Not Well - Detects declining health trends - Alerts after multiple "Not Well" days ### 3. Inactivity Detection - Monitors missed interactions - Detects unusual silence - Alerts caregiver to potential emergencies ### 4. Emergency Trigger - One-tap activation - Calls caregiver immediately - Sends alert notification --- ## How It Works 1. Elderly user interacts via voice or simple taps 2. System logs all interactions 3. AI builds baseline and detects deviations 4. Risk alerts trigger caregiver intervention 5. Problems addressed before escalation --- ## Multilingual Support - English - Yoruba - Igbo - Hausa Language selected during caregiver setup for natural voice interaction. --- ## Tec …