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The replies are read out aloud on the mobile device itself. Similar to JARVIS Things, it uses, in-built Speech-To-Text and Text-To-Speech libraries.
#Build my own jarvis ai android
The Android application provides another user interface to communicate with the Brain and perform the tasks. If not found it will go for regular web search as fail safe option.
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Location Temperature: Added in ver 0.25, speaking out "Temperature of New Delhi" will fetch the temperature for New Delhi using Open Weather Map API.MQTT protocol is used for communication between the Thing and the Lamp. It is programmed to control the relay which then controls the AC appliance i.e. Lamp control: Lamp is based on ESP8266 wifi module.For the demo, all commands execute for 5 seconds only. Based on the command received from Brain, different commands are transmitted to Rover to make it move forward, backwards, left, right and stop. Rover control: Rover is based on Arduino UNO board and communicates with JARVIS THINGS via RF module.MQTT protocol is used for assisting JARVIS MOBILE to control the Rover and the Lamp. Or else if it's a simple reply, using inbuilt Text-To-Speech, it is spoken out via USB speaker connected to RPi3. If it's a command type, the respective task is performed like moving a rover, turning on the lamp, etc. The JSON response is parsed and further processed to check what the Things have to do.
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This text is sent to Brain using Volley library. USB mic connected takes the input speech and via Google Voice Search (added manually via old apk), converts it into text. It can also have its inputs via sensors and can triggers tasks directly. Then based on the response from the Brain, it performs tasks. It takes speech input from the humans and sends the text version of it to JARVIS BRAIN for processing. This engine is accessible via python based service build using Flask framework.Īndroid Things (running on RPi3) based interface and controlling unit. If the input speech result is not found out from the classified module, then it is processed for online web search using "duckduckgo" web search API. basic mathematics expression solving (+,-,*,/, square, squareroot, cube, cuberoot).Currently, the trainer trains the engine to classify for 3 patterns: NLTK and Scikit based, NLP engine written in python to classify the input speech (in the text) and process it depending on the classification. It was developed for Google I/O'17 challenge.Ĭurrently, the project version 0.30, has 5 main modules: It is inspired from the AI bot, "JARVIS" from the movie, "Iron Man". This project demonstrates the use of different technologies and their integration to build an intelligent system which will interact with a human and support in their day to day tasks.