A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.
G-One is an AI personal voice assistant service built using Pychram. It can understand human speech and perform basic task designed by the client.
When the user specify the appropriate trigger words , The G-One gets activated and executes the user commands.
G-One AI Voice assistant:"Loading your personal Assistant G-One.... Hello, Good Morning" (Greets the user according to time)
The implemented Voice assistant can perform the following tasks:
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Opens a wepage : Youtube , G-Mail , Google Chrome , StackOverflow
Human : Hey G-One, Open Youtube
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Predicts time
Human : Hey G-One , What is the time
3.Fetch Top headlines from Times of India
Human:Hey G-One , what's the latest news?
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Captures a photo
Human:Hey G-One, Take a photo
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Searches data from web
Human: Hey G-One, Search Butterfly images from web
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Ask geographical and computational questions
Human: Hey G-One, What is the capital of California? / Hey G-One what is Sin 90?
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Predict Weather of different Cities
Human: Hey G-One , What is the weather likely now in Kerala?
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Abstarct necessary information from wikipedia
Human: Hey G-One , Who is Bill Gates according to Wikipedia
The voice assistant abstarcts first 3 lines of wikipedia and gives the information to the user.
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Ask G-One about what task it can perform and who created it
Human: Hey G-One, Who created you? / Hey G-One , What can you do
10.Turn off your pc when required
Human: Hey G-One , Please turn off my PC
1.Json
2.request
3.Speech recognition
4.Pyttsx3
5.Wikipedia
6.Ecapture
7.time
8.Wolfram Alpha
1.os
2.datetime
3.web browser
4.subprocess
G-One uses Third party API's to predict weather in different cities and to ask computational and geographical questions. Free API keys can be generated by creating an account in the following applications.
Open Weather Map - To forecast weather
WolframAlpha - To answer questions
A blog on "How to build your Own AI voice assistant using Python" is published on Towards Data science.
Check out my blog now : https://link.medium.com/RNuKoCjPO8
Happy reading:)