An AI-powered web application built to help elderly individuals log fitness activities, monitor health metrics, and receive personalized wellness guidance — running privately on your own infrastructure.
LifeTech’s mission is to enhance senior adult health, wellness, and independence. The Senior Health Assistant is a direct embodiment of that mission — a fully deployed AI platform built in 2025 that puts a personal fitness coach in the hands of every elder adult.
— John Huang, Founder, LifeTech Inc.Users log walks, swimming, jogging, and more — with duration, distance, and date. The AI tracks trends over time and surfaces personalized insights at every session.
A custom-trained Senior Fitness Coach model analyzes health metrics and Apple Health data exports, generating personalized recommendations, weekly summaries, and wellness reports.
Full speech-to-text and text-to-speech support with configurable voice profiles. Designed to minimize barriers for seniors less comfortable with typing.
Role-based accounts for Admins and Users — supporting seniors, caregivers, and healthcare professionals from a single deployment with individual data privacy.
The AI remembers fitness goals, workout history, and user preferences across separate chat sessions — so every conversation picks up where the last one left off.
A full REST API backend with endpoints to log, retrieve, update, and delete activities. Integrates directly with the AI interface and supports Apple Health data imports.
The Senior Health Assistant uses a conversational AI interface. Users type or speak to log activities, ask for progress summaries, and receive guidance tailored to their fitness level and history.
The platform is built entirely on open-source components and runs on a self-hosted VPS — meaning all health data stays on your own infrastructure. No third-party cloud AI services required.
The system architecture supports multiple concurrent users through a shared LLM API server, with session context managed per user in the database — no separate model instance needed per user.
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