AIIOTLayer Integration Demo: Real Time Water Meter Monitoring via AINexLayer Chat

his demonstration illustrates the powerful integration between AIIOTLayer and AINexLayer, showing how natural language AI can be used to query real-time IoT telemetry data. The video features a specialized Water Meter monitoring dashboard where users can interact with live device data through the AINexLayer Embed Widget,.
Key Features Demonstrated
• IoT Dashboard Visualization: The AIIOTLayer dashboard visualizes critical metrics for a Water Meter device, including:
◦ Temperature: Displayed via gauge and real-time trend line (°C).
◦ Water Flow: Monitoring flow rates (m³/hr).
◦ Water Level: Tracking tank levels via percentage and trend charts.
• AI Chat Integration: The interface features the AINexLayer "Embed Widget," a standalone chat interface integrated directly into the external website,. This widget bridges the gap between the user and the IoT backend.
• Natural Language Querying: Instead of manually navigating complex dashboards, the user interacts with the system using simple questions, such as:
◦ "What is the current temperature?"
◦ "Show me all water meter readings".
How It Works Powered by AINexLayer's Agent Framework and API integrations, the chat embed interprets natural language queries and executes API calls to the AIIOTLayer backend. It retrieves live telemetry data instantly, ensuring the values displayed in the chat match the dashboard widgets in real time,.
Summary This video highlights the capability of AINexLayer to transform standard IoT dashboards into intelligent, conversational interfaces, allowing for intuitive monitoring of device status and telemetry without manual navigation,.