MIT App Inventor

Import BLE Extension.

Design UI for data display.

Use 'When BLE.DataReceived' block to parse sensor values.

Store data in CloudDB for doctor review.

Trigger push notifications if values exceed thresholds.

Train a model using MIT's PIC tool.

Export the .aix model file.

Import model into App Inventor project.

Use Camera component for input.

Display classification results and disposal instructions on screen.

Connect to a custom Web API or MQTT extension.

Fetch real-time temperature/vibration data.

Update dynamic labels and graphs in the UI.

Set up SMS alerts via the Texting component for critical failures.

Utilize the Yandex Translate or Microsoft Translate components.

Configure Speech-to-Text for input.

Process translation logic in blocks.

Use Text-to-Speech for audio output in the target language.

Add the Barcode Scanner component.

Create a Google Sheet and deploy it as a Web App (API).

Scan student QR codes.

Send the ID to the Google Sheet via the Web component.

Confirm entry with a visual green checkmark.

Design a grid of buttons for various rooms.

Set up HTTP Request blocks for each light IP address.

Implement 'Color Picker' logic to send RGB values to the controller.

Use Voice Recognition to trigger 'All Off' scenes.

Access local transit GTFS-Realtime API.

Parse JSON response into a list.

Use the Map component to plot markers for bus coordinates.

Calculate ETA using the Clock component.