Kaiyil Nalam-With every touch, comes care and safety!

Kaiyil Nalam – Well-being in Your Hands About the Project Kaiyil Nalam is a smart, accessible, and sensor-integrated digital assistant created to support elderly individuals living alone or with limited assistance. The app empowers them to monitor their health, receive emergency aid, and stay connected — all through a touch-friendly interface in Tamil and English.

What Inspired Me The inspiration came from real-world conversations with elderly people who:

Struggle with using smartphones

Live alone without immediate help

Suffer from chronic illnesses and forget medications

Are unaware of their vitals unless hospitalized

I asked myself:

“What if they didn’t need to ‘use’ technology — what if it just quietly helped them?”

This led to the vision of building an app that works without demanding digital literacy, using sensors, automation, and Tamil-first design.

What I Learned Integrating Arduino Cloud with real-time health sensors

Designing voice-assisted UI for accessibility

Creating a dual-language interface (Tamil & English)

Mapping human behavior to sensor placement (like chair armrests)

Importance of empathy in design thinking for elderly care How I Built the Project Tech Stack:

Frontend: HTML, CSS (pastel UI with icons), Bolt.new interface

Cloud: Arduino Cloud (ESP32 for sensor data)

Hardware: MAX30102 (heart rate + oxygen), MPU6050 (fall detection), ESP32 microcontroller

Voice Feedback: Web Speech API for Tamil/English voice support

Workflow:

Sensor data is collected using ESP32

Data is pushed to Arduino Cloud

The app (built on Bolt.new) fetches real-time values using API

Users interact via large buttons, get voice feedback, and can trigger alerts or smart home functions

Challenges I Faced Challenge Solution Making it elderly-friendly without overcomplication Used voice, large buttons, icons, and Tamil-first labels Designing non-wearable sensor placement Integrated sensors into chair armrests, bed rails, and phone cases Ensuring real-time data flow from ESP32 Optimized HTTP GET intervals and sleep modes Making voice work in Tamil Configured SpeechSynthesis API for ta-IN locale Simulating hardware actions for demo Used placeholders and mock outputs in UI

Impact The project is a small step toward redefining aging with dignity. It enables elderly people to:

Feel cared for even when alone

Monitor their health passively

Get help in emergencies

Stay connected to their loved ones

What’s Next? Add AI voice assistant in Tamil

Enable weekly health reports for family members

Integrate medication reminders + image-based shopping assistance

Extend to wearable devices (optional) Technology shouldn’t just be smart — it should be human.

Built With

• arduino
• arduino-cloud-rest-api
• arduino-iot-cloud
• bolt.new
• css3
• emojis
• esp32
• html5
• icons
• javascript
• max30102-sensor
• meetstream/google-meet
• mpu6050-sensor
• responsive-design
• tamil-&-english
• text-to-speech
• web-speech-api
• webhooks