Project Hub /Healthcare Biomedical & Assistive/Assistive & Prosthetic Tech/Kavach: ESP32 Voice AI Assistant for Elderly Care

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ESP32

₹5,000 – ₹15,000

6 – 12 Hours

Complete Kit

Kavach: ESP32 Voice AI Assistant for Elderly Care

Kavach is a desktop AI-assisted communication and smart-home support device designed specifically for elderly users to easily make emergency calls and control appliances using offline voice commands.

Originally published on CircuitDigest

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

ESP32-C3 Development Board with Berg Pins - Unsoldered Rs. 750.00
ESP32 WiFi+Bluetooth CP2102 Development Board Rs. 520.00
MQ-2 Smoke Sensor Detector Module Rs. 129.00
5V 1 Channel Relay Module Rs. 87.00
PIR Motion Detector Sensor Module HC-SR501 Rs. 153.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

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How It Works

The Kavach system operates as a distributed voice-activated assistant and security monitor designed for elderly care, leveraging the ESP32-S3 BOX 3 as the primary user interface and processing hub. The ESP32-S3 BOX 3 runs an LVGL graphical interface on its display and processes offline voice commands to handle local requests and communicate status. Surrounding this central hub are three Seeed Studio XIAO ESP32-C6 units functioning as satellite nodes distributed throughout the living space. These nodes communicate via the Mosquitto MQTT broker to create a cohesive local IoT network. For environmental safety and intrusion detection, the system integrates a PIR sensor to detect human movement and an MQ-5 gas sensor to monitor for dangerous gas leaks. When a hazard or emergency is detected by these sensors, or when triggered by a voice command, the system can actuate connected devices using a 5V relay module. Additionally, users can interface with and monitor the system remotely via a custom Flutter application running on a mobile device, which connects through the MQTT broker to receive alerts, check sensor states, and view system telemetry handled via the robust ESP-IDF development framework.

Why Build This

Develop a real-time, privacy-focused offline voice assistant tailored for vulnerable demographics using modern edge-AI hardware.

Implement a distributed multi-node IoT network using MQTT for synchronized home safety monitoring and appliance control.

Integrate heterogeneous safety peripherals like gas and motion sensors with relay-driven automation for practical assistive living solutions.

Real-World Application

Assisting elderly or digitally illiterate individuals living alone by providing voice-activated emergency alerts, family communication, and home safety monitoring.

Skills You'll Learn

Embedded C and C++ programming

ESP-IDF framework configuration

MQTT protocol implementation

LVGL GUI design

cross-platform Flutter app development

wireless sensor network architecture

sensor signal conditioning

Safety Precautions

Ensure proper installation and wiring of the gas sensor and relay modules, especially when dealing with mains-powered appliances or flammable gas detection.

Technology Tags

ESP32

ESP-IDF

FREERTOS

MQTT

SPEECH RECOGNITION

IOT

LVGL

FLUTTER

SENSORS

Frequently Asked Questions

Why use multiple ESP32-C6 units alongside the main ESP32-S3 BOX 3?

The satellite XIAO ESP32-C6 units allow for distributed sensing and communication across different rooms, while the ESP32-S3 BOX 3 acts as the central processing and interface unit.

Does this system require an active internet connection to process voice commands?

No, Kavach is designed around offline voice command processing to ensure privacy, reliability, and continuous functionality even during internet outages.

How does the mobile app communicate with the hardware?

The Flutter app communicates with the ESP32 nodes using the Mosquitto MQTT broker, allowing for seamless real-time messaging, status updates, and remote monitoring.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

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