Before we talk about  Web3  let's see the previous versions of the web (Web1 & Web2 ) to understand it in a better way. Web 1 (1980s- early 2000's) Web1 refers to the first version of the Internet / World Wide Web (WWW), which was mainly providing the everyday consumers with online content. There were only a few content creators in Web1 with a huge majority being  consumers of   content . Users were only able to read information or content online and cannot interact. I was incredibly static. Web 2 Web 2 is the version of the internet that we all know and use today. As Web1 was static and "read-only" Web2 was "read-write". In Web2 content consumers also became creators. Web2 was dynamic and users could interact and create content on the internet themselves. Web2 saw a huge rise in the use of smartphones and most of the internet was used using mobile apps, hardware made by the companies like Apple, Google, Facebook, etc. With this more people started using

 For this project we will be using OpenCV library in python This library is used to develop real-time computer vision applications. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. Let's see how the process works: Take A image Convert it to grayscale Invert the grey scale image Blur the inverted image           Subtract the grayscaled image from the blurred inverted image           And Done!! In just 9 lines of code, you can easily create skteches using OpenCV in Python! Here is the Github repository for this code