Analyze Garmin data for meal planning and health patterns
The poster exports Garmin data into a Claude project and meal planner, where Claude spotted a link between eating more on one day and reduced medication efficacy.
A how-to guide for an OpenClaw agent on a Raspberry Pi pill dispenser that logs doses, adjusts reminders, confirms dispensing by camera and alerts caregivers on missed doses.
A how-to guide for an OpenClaw agent on a Raspberry Pi pill dispenser that logs doses, adjusts reminders, confirms dispensing by camera and alerts caregivers on missed doses.
The guide puts an OpenClaw gateway on a Raspberry Pi wired to a servo-driven pill organizer, a Pi Camera and a buzzer. The agent calls small Python scripts for the servo, camera and buzzer. OpenClaw cron jobs start subagents that check dose history, dispense, photograph the slot, escalate unconfirmed doses and message caregivers on Telegram or WhatsApp. Caregivers change schedules in plain language.
The source gives no test results. It describes the design only: adaptive reminder timing, camera checks, and daily and weekly adherence summaries. It says camera verification is not foolproof and that this is a reminder aid, not a medical device.
Parts cost about $27-50 beyond the Pi, plus a few dollars a month in LLM API fees. A locked commercial dispenser is safer for users with dementia.
Help me plan a medication reminder dispenser on a [Raspberry Pi model] for [person's name] taking [medications and times]. Write the code to log each dose, send reminders, check the dispensing with a camera, and alert [caregiver contact] after a missed dose. Give me a step-by-step setup and a test checklist. Ask before sending any real alert or message.
The poster exports Garmin data into a Claude project and meal planner, where Claude spotted a link between eating more on one day and reduced medication efficacy.
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The poster uses Claude with Apple Health, nutrition and lifting app data, plus medication and bloodwork files, and has it maintain an HTML dashboard.