Create your own first virtual assistant in Python in less than 90 minutes and modify its functionalities at your will with the help of basic Python libraries and modules.

About This Video

• Build your personal voice assistant with the help of Python libraries and modules from scratch
• Python beginners and experts can benefit from this project
• Comes bundled with resource files that can be implemented while learning and add it to your own portfolio

In Detail

Learning through your own little projects is the best and most enjoyable way to improve your skills.

In the world of today, we all already use virtual assistants such as Alexa, Siri, Google Assistant, and others increasingly in our daily life. It is convenient and this will only increase in the next few years. So, wouldn't it be interesting to learn the fundamentals to create our own virtual assistant?

This is exactly the goal of this course, and it creates a lot of fun doing it. We can ask our virtual assistant to play songs, search YouTube, return stock quotes, and do many other things.

Doesn't that sound interesting?

So, let's not waste any time and start working on this project together. You will start by running Jupyter Notebook and understanding some basic Python libraries. Followed by adding components of your virtual assistant like data, time, voice to text, and so on. Finally, you will execute and test your virtual assistant and modify it as per your requirement.

The cherry on the top, you can also add this project to your own portfolio later to show potential employers your skills!

By the end of this course, you will build a working and your first personal virtual assistant using Python and learn some basic Python libraries and modules.

Who this book is for

The course is designed for beginner to advanced level Python enthusiasts. Everyone who is interested in building a virtual assistant or students interested in building a chatbot, and finally, the ones who are interested in starting programming and looking for a project to add to their portfolio.

Windows system and Jupyter Notebook are used while building this project but feel free to choose the editor of your choice. No programming knowledge is required.