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Vibe code a fall-detection camera system for aging parents with Lovable

PartialEvidence: Described by posterPosted Last checked

Srdjan Stakic built a fall-detection camera app for aging parents in Lovable; it partly needed a hired IT company and took months.

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Prompt

Recreated prompt

The source didn't share its exact prompt, so we wrote one from what it describes. The result shown is the source's, not ours.

What the prompt labels mean

The person didn't share their exact words, so we wrote this from what they described. We haven't tested it, and they didn't use this exact version.

Build a web app that connects to home cameras and detects when an elderly person falls. When it sees a fall, notify family members or emergency services with the person's location and a short health summary. Add log-ins for family, a database of alerts and settings for how each person wants emergencies handled.

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ChatGPT Used in sourceGemini Used in sourceGrok Claude

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Optional stronger version

Our rewrite with extra checks. The poster didn't test it.

Before you start, ask me 1–3 short questions about the details below and wait for my answers. Once I've answered, confirm the plan in one line and run the whole task start to finish.

Goal: Build a simple fall-alert app for a parent's home that I can test safely before relying on it.

Questions to ask me first:
- Which cameras do you have, and can they stream to an app?
- Who should get alerts, and in what order?
- Has your parent agreed to cameras, and in which rooms?

Inputs (fill in or confirm):
- Cameras: [BRAND / MODEL / NUMBER]
- Rooms covered: [ROOMS]
- Alert contacts: [NAMES / PHONE NUMBERS]
- Consent: [YES / NOTES]

Rules:
- Start with one camera and one alert contact before adding more.
- Store video and health details privately and never share them without consent.
- Log every alert with the time and camera so I can check false alarms.
- Don't present it as a medical alert service; keep a backup like a wearable fall button.

Checkpoint: Show me the plan (pages, database and alert flow) and wait for my OK before building.

If you get stuck: If a camera can't connect, tell me what it needs or suggest getting professional help instead of looping.

Verify before you finish: Run a test fall and a test non-fall and show me both results before you finish.

Output: A working app with one connected camera, test results and setup notes.

Done when: A test fall sends me an alert, and a normal day doesn't.

AI tools

LovableGeminiChatGPT

Outcome

Srdjan Stakic, 49, a former film producer with no coding background, wanted a system that could watch over elderly parents when Stakic wasn't home. Stakic outlined the idea with Gemini and ChatGPT, asking family how they wanted to be treated in a fall or medical emergency, then built it in Lovable, which put together the front end, back end, database and log-ins. Stakic tested fall detection by falling in the living room. It took a few months to work, and Stakic had to hire an IT company to connect multiple cameras. The system now detects falls and alerts family or EMS with a location and short health summary, scans for trip hazards and flags rude caregiver behavior with a 30-second clip. Stakic says the parents feel safer, though Stakic still doesn't fully understand the code.

Evidence: Described by posterThe person describes what happened in words, without screenshots or video.

Known limitations

PartialThe source says it only partly worked, or had a significant problem a person had to deal with.

What went wrong: The system works, but it took a few months and needed a hired IT company to connect multiple cameras.

Source

Posted
by Srdjan Stakic, as told to Noah Sheidlower (Business Insider)
Last checked
Method:
How we verify

https://www.businessinsider.com/aging-retirement-vibe-coding-ai-lovable-chatgpt-claude-security-cameras-2026-3

Context: No prompt is quoted, so the prompt here is recreated. Stakic has since launched a startup (Alvis) based on the system, so this is a founder's story; self-reported in an as-told-to essay.

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