MIT App Inventor
Thunkable
Bubble.io
Kodular
Android Studio
AppyBuilder
IntelliJ IDEA
Xamarin.Android
Amazon Lex
Dialogflow
IBM Watson Assistant
Microsoft Bot Framework
Tars
Botpress
Chatfuel
SentiOne
MIT App InventorBased on our record, MIT App Inventor should be more popular than Amazon Lex. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
First thought, play with MIT App Inventor https://appinventor.mit.edu/, they have dedicated blocks for graphing and cross-platform implementations of Bluetooth for Android and iOS. The data format is still up to you. Source: about 1 year ago
Or you could go to https://appinventor.mit.edu/ and design your own custom app (no widget, though). Source: about 1 year ago
If you want to make a mobile app you could try https://appinventor.mit.edu/. Source: about 1 year ago
Maybe a raspberry pi that's on 24/7 connected to wifi and use that to send the wake over lan signal to the server? Arduino on the power pins also works, I did something quite similar but with a Bluetooth board, the code was really simple I just made an Android app with MIT app inventor that sent a signal to the hc_05 bt board, once the Arduino received that signal it shorted the power pin to 5v for half a second... Source: over 1 year ago
If your idea isn't complicated, have a look at MIT App Inventor. It literally is, drag-and-drop. That should get you started. Source: over 1 year ago
However, APIs like Watson Assistant or Amazon Lex make it easy to build services that can apply logic to observed patterns in those natural-language requests. These services may, for instance, observe a sudden rush of calls from an airport suffering take-off delays and change the sequence of options to prioritize rescheduling flights. Or they may see that calls from a particular country or region tend to be... - Source: dev.to / about 1 month ago
Amazon's doesn't care about Mturk, they have their own AI that will eventually automate all their work too https://aws.amazon.com/lex/. Source: about 1 year ago
Amazon Lex, AWS's natural language conversational AI service. With Amazon Connect, it seamlessly leverages Amazon Transcribe to understand what is being said (speech-to-text), and Amazon Polly to provide the verbal response (text-to-speech). We aren't really using the Natural Language powers of Lex, but it has other uses for us:. - Source: dev.to / over 1 year ago
AWS has three high-quality tools: Amazon Lex, Amazon Rekognition, and Amazon SageMaker. - Source: dev.to / over 1 year ago
Introducing DTMF slot settings within Amazon Lex.Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots ("chatbots"), virtual agents, and interactive voice response (IVR) systems. Amazon Lex is excited to launch DTMF-only slot settings and configurable session attributes within the Lex console. - Source: dev.to / over 1 year ago
Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.
Dialogflow - Conversational UX Platform. (ex API.ai)
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
IBM Watson Assistant - Watson Assistant is an AI assistant for business.
Kodular - Much more than a modern app creator without coding
Microsoft Bot Framework - Framework to build and connect intelligent bots.