
Learn to build an advanced virtual assistant Jarvis and a Friday using Python. Follow hands-on guidance inspired by Tony Stark and Iron Man.
Demonstrates Jarvis 3.0 in action, handling memory prompts, shopping reminders, time and weather queries, and voice-driven content creation with practical recommendations like iOS versus Android.
Set up the Python development environment: download python.org, install Python 3.11 on Windows, add to path, install VS Code and Python extension, and verify with command prompt and Python interpreter.
Set up the development environment on Mac OS using Visual Studio Code; learn to download, install, and configure VS Code, explore built-in Git, IntelliSense, debugging, and extensions for Python development.
Master Python basics in under 90 minutes, covering printing, variables, data types, strings, lists, dictionaries, sets, tuples, loops, conditions, and functions, file handling, and a real-time clock project.
Learn to build a Jarvis AI 3.0 virtual assistant by implementing text to speech in Python with the pyttsx3 library, including installing the package and initializing the engine to speak.
Learn to implement a text-to-speech feature by converting code into a reusable function, accept user input via a command prompt, and call the function to speak text in Jarvis.
create a time function that imports the date time module, gets the current time, formats it into a string, and uses speech to announce the current time.
Create a date function using the date time module to fetch the current day, month, and year, then print and speak it.
Implement a greeting function in Jarvis AI 3.0 that greets by time of day using the current hour and 24-hour time with if-else logic for morning, afternoon, evening, and night.
Create a wishme function that calls the time, date, and greeting sequences at startup, delivering a welcome message and the line Jarvis, at your service to prompt user assistance.
Learn to implement the take_command_cmd function to capture text input from the command prompt, convert it to lowercase, and reply with time or date via Jarvis.
Enable voice-driven email sending in the Jarvis AI 3.0 GPT-3 based AGI virtual assistant by implementing a Gmail SMTP workflow in Python, with TLS, login, and microphone-input captured content.
Understand how google removed less secure apps and use two-step verification to generate a 16-digit app password and securely send emails with jarvis 3.0.
Show how Jarvis AI 3.0 extends the send email function to capture receiver name, subject, and content via microphone, build an email message, and send to mapped addresses.
Extend the Jarvis AI 3.0 GPT3 based AGI virtual assistant to send WhatsApp messages via microphone input, using PyAutoGUI to automate WhatsApp Web and a phone-number workflow.
Enhance the Jarvis AI 3.0 virtual assistant by adding a Wikipedia search feature that speaks back concise summaries, using the Wikipedia Python package and voice output.
Welcome to the JARVIS AI 3.0 course! This advanced course is designed for those who are interested in building and training their own artificial intelligence (AI) virtual assistant using the latest GPT-3 technology.
Throughout the course, you will learn how to create and program a virtual assistant called JARVIS that can understand and generate human-like language, perform a wide range of tasks, and hold intelligent conversations. Some of the capabilities you will be able to teach JARVIS include scheduling and calendar management, email and messaging, internet searches and data lookup, translation, and task automation.
To build and train your JARVIS AI, you will need to have a basic understanding of natural language processing, machine learning, and API development. These concepts will be covered in the course, so no prior knowledge is required. However, having some programming experience will be helpful.
Upon completing the JARVIS AI 3.0 course, you will have a fully functional, GPT-3 based AI virtual assistant that you can use in your personal or professional life. Whether you are a beginner to AI or an experienced developer, this course has something to offer. Join us and learn how to create your own intelligent virtual assistant with JARVIS AI 3.0!
What is AGI?
Artificial General Intelligence (AGI) is a type of artificial intelligence that is capable of understanding or learning any intellectual task that a human being can. It is also referred to as "strong AI" or "human-level AI."
The goal of AGI is to create a machine that has a level of intelligence comparable to that of a human being and can perform any intellectual task that a human can. This includes tasks such as learning, problem-solving, decision-making, and adapting to new situations.
AGI is different from narrow AI, which is designed to perform a specific task or set of tasks but is not capable of adapting to new tasks or situations. Some examples of narrow AI include virtual assistants, language translation tools, and self-driving cars.
AGI is still in the realm of science fiction and is not yet a reality. However, researchers and scientists are working towards developing AGI, and some believe that it may be achievable in the future.