nclamvn

nclamvn / bom-cham

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Bờm Chăm — AI chăm sóc người thân cao tuổi 🏠 Để gia đình yên tâm, để ông bà an vui

ai eldercare home-assistant iot smart-home
21
11
100% credibility
Found Feb 21, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Bờm Chăm is an open-source AI platform for monitoring and caring for elderly relatives at home using affordable sensors, cameras, and messaging alerts to family members.

How It Works

1
👴 Care for grandma

You discover Bờm Chăm, a kind AI helper that watches over elderly loved ones at home with sensors and cameras.

2
🛒 Gather everyday gear

Pick up a small computer, motion sensor, camera, speaker, and SOS button – simple setup for about 12 million VND.

3
⚙️ Start on the computer

Download and launch the software with one easy command on your Raspberry Pi.

4
🧙 Friendly setup guide

Follow the simple wizard to enter grandma's details, family contacts, and connect your smart home devices.

5
📱 Family phone dashboard

Install the lightweight app on everyone's phone to check status, temperature, sleep, meds, and live alerts anytime.

❤️ Safe and happy family

Enjoy peace of mind as Bờm Chăm watches 24/7, sends instant alerts, plays music, and reminds about medicine.

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Star Growth

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AI-Generated Review

What is bom-cham?

Bom-cham is a TypeScript Docker app that transforms a Raspberry Pi into an AI eldercare hub, monitoring seniors via Home Assistant sensors like Aqara FP2 for presence, falls, and SOS buttons. It runs 18 skills for 24/7 checks, medication reminders, sleep tracking, and bolero music playback, pushing alerts to Zalo, Telegram, Viber, or WhatsApp. Families access a lightweight PWA dashboard for real-time status, timelines, and quick actions like video calls—all for under $500 in hardware.

Why is it gaining traction?

It stands out with multi-elder profiles, offline Vietnamese TTS/STT, and seamless Zalo integration for Vietnam-focused bom cham setups, skipping clunky commercial monitors. The 5-step onboarding wizard and one-command Docker deploy make it dead simple versus wiring custom scripts. Devs digging bom chamego or cham cham sweet monitoring hooks love the LLM flexibility with Claude, GPT, or Ollama.

Who should use this?

Home Assistant tinkerers building Vietnamese eldercare rigs for parents or grandparents. Families needing affordable 24/7 alerts without pricey subscriptions. Hardware devs prototyping IoT health trackers with Zalo/Viber family comms.

Verdict

Grab it if you're hacking eldercare prototypes—solid Docker flow and PWA shine despite 10 stars and 1.0% credibility score signaling early days. Polish docs and add e2e tests before production; it's promising for bom chamorshi ifsc code seekers but watch maturity.

(198 words)

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