
Initialize Elena, a Python-based interactive voice assistant. Explore features like small talk, crypto and stock data, Wolfram Alpha, translation, Chuck Norris API, top news, weather, Wikipedia lookups, and datetime module.
Initialize and configure a Python voice assistant by importing speech recognition, Google text-to-speech, and play sound; implement listen, talk, and replay functions to convert speech to text and speak responses.
Practice smalltalk in a python-based voice assistant by building interactive dialogue with name personalization, keyword-driven responses, if/elif logic, and a while loop for a guided conversation.
Learn to fetch cryptocurrency prices with a Python voice assistant using the CoinGecko API, retrieving current Bitcoin, Litecoin, and Solana prices in USD.
Learn to fetch stock data for Apple, Facebook, and Tesla using the Yahoo Finance package, retrieve tickers and regular market price, and format voice responses.
Learn to integrate the Wolfram Alpha API into a Python-based voice assistant to answer country capitals, perform calculations, and identify current presidents.
This lecture shows building a personal translator for a voice assistant that translates English to German using the translators package and Google translator, with German pronunciation for output.
Learn to fetch random Chuck Norris jokes with a Python-based voice assistant by calling the api endpoint, parsing json, and having the assistant read the joke.
Learn to fetch headlines from the news API, store an API key, request the top headlines endpoint, extract article titles, and print the first three headlines for your voice assistant.
Build an interactive weather assistant that queries a weather API for a user-specified city, using an API key, and reports the temperature and description via the voice assistant.
Learn how to fetch distance between two cities using MapQuest's Directions API, handle API keys, units (miles or kilometers), and integrate interactive city prompts in a Python voice assistant.
Learn to integrate the Wikipedia module in a Python voice assistant, fetch one-sentence summaries via wikipedia.summary, and handle interactive user queries with speech output.
In this course you will learn how to build your own interactive Voice Assistant with Python. You can see it like an Alexa Clone. The requirements for this course the basic knowledge of the Python Programming Language and especially a great desire to learn new things.
Further more you need the following technical equipment:
· Microphone (Headset, integrated microphone etc..)
· Internet Connection
We will build step by step a Virtual Assistant with interesting features.
The Curriculum looks like this:
Initialize and Configure the Voice Assistant (Listen, Talk, Reply)
Smalltalk
Cryptocurrency Information
Stock Market Information
Wolfram Alpha API
Translator
Chuck Norris Jokes
News
Weather
Distance between two cities
Wikipedia
Time and Weekday
You can modify and change every feature shown in this course. The content should give you the necessary tools to build your own assistant which meet your personal desires. The Jupyter Notebook is the IDE (Integrated Development Environment) is this course. Especially for beginners it is very easy to follow if you are using this IDE. But if course you can choose another one if you wish, no need to use Jupyter Notebook.
This Voice Assistant Course covers all experience levels. That means it does not matter if you are a complete beginner, intermediate or a programming professional, you will definitely learn concepts which you can implement in your personal programming projects.
It is expected that you have already installed Python. In case you have any kind of question during the course, you can definitely refer to me and the other course members.