[100% Off] Python Ai Assistant: How To Build Ai Assistant With Python?

Create Your Own AI Assistant with Python: Learn Basics of Speech Recognition, Text-to-Speech, and More.

Added on November 8, 2025 IT & Software 2 min read

What you’ll learn

• AI assistant from Scratch
• Building the AI Assistant with python
• Building Core AI Assistant Features
• Understand Basic python and understand project making
• Students will able to think how to make own's project with total independence
• Basic knowledge of AI Artificial Intelligence AI based Assistant

Requirements

• Basic computer skills.
• A computer with Python installed (instructions provided in the course content).
• Enthusiasm to learn Python programming.

Description

Welcome to “Building an AI Assistant from Scratch,” an exciting journey into the world of Python programming. In this comprehensive course, you’ll learn how to create your very own AI assistant capable of performing a variety of tasks, including speech recognition, text-to-speech conversion, and intent recognition. By the end of the course, you’ll have a fully functional AI assistant, equipped with advanced features like translation, Device lock and many more .

What You’ll Learn

• Introduction to Python Programming:

  • Basics of Python syntax and programming concepts.

  • Setting up a development environment using Visual Studio Code.

• Text-to-Speech Conversion:

  • Installing and configuring the pyttsx3 library.

  • Implementing basic text-to-speech functionality.

• Speech Recognition:

  • Understanding the importance of speech recognition in AI.

  • Installing and configuring the SpeechRecognition library.

  • Implementing basic speech recognition functionality.

• Intent Recognition:

  • Introduction to intent recognition and its role in AI assistants.

  • Defining intents and responses.

  • Implementing basic intent recognition using regular expressions.

• Building Core Functionality:

  • Integrating text-to-speech, speech recognition, and intent recognition components.

  • Implementing the core functionality of the AI assistant.

  • Testing and debugging the AI assistant.

• Advanced Features:

  • Adding additional features such as Translation, Dictionary, Date and Time and more.

  • Integrating external APIs for real-time data retrieval.

  • Enhancing user experience with improved response generation.

• GUI Development:

  • Creating a graphical user interface (GUI) using Tkinter.

  • Integrating the AI assistant’s functionalities into the GUI.

  • Tkinter Basics

Author(s): Geeta Patwal, Shivyaansh Singh Rawat