Mr. AI Engineer

Matrix inversion is a fundamental operation in linear algebra and shows up in many areas: solving linear systems, change of coordinates, control systems, optimization, computer graphics, and more. If you’ve ever solved a linear system  A x = b  and written the formal solution  x = A − 1 b , you used the idea of an inverse matrix — the “undo” for a linear transformation.

Matrix multiplication is one of the most fundamental operations in  linear algebra  and appears everywhere in data science, machine learning, computer graphics, physics, and engineering. Whether you are building neural networks, solving systems of linear equations, or transforming coordinates in a graphics pipeline — matrix multiplication sits at the center.

Designing complex machine-learning systems is more than training a high-accuracy model on a dataset. Modern ML systems combine data engineering, software engineering, model selection, deployment pipelines, observability, and governance — all operating at scale and under real-world constraints. Whether you’re an ML engineer, data scientist, architect, or technical leader, mastering the design principles that make ML reliable, maintainable, and scalable is essential.

 Hi Guys!, Below is an in-depth Data Science Roadmap for 2026 , designed to guide you from beginner to advanced proficiency over a 12-month period. This comprehensive plan accounts for the evolving landscape of data science, incorporating foundational skills, advanced techniques, emerging trends, and practical experience tailored to 2026 industry demands. The roadmap assumes a beginner to intermediate starting point and emphasizes hands-on projects, modern tools, and job readiness. It includes detailed learning objectives, tools, resources, weekly schedules, and milestones, with flexibility for customization based on your pace or prior knowledge.

Hi Guys Welcome to the new blog Image Transformation Techniques in OpenCV for Image Processing and Computer Vision. In this blog, we will explore the  most essential image transformation techniques in OpenCV , explaining their functionality, real-world applications, and practical implementation with Python code examples. Whether you're a  beginner in image processing or an AI developer looking to refine your skills , this guide will help you understand how to apply transformations effectively to achieve better results in computer vision projects.

Hi Guys! In this blog, we will explore the fundamentals of  D rawing functions in OpenCV , including how to create  lines, rectangles, circles, polygons, and text  on images. With step-by-step explanations and practical examples, you'll learn how to  customize colors, thickness, and positioning  to create visually appealing graphics.

Hi Guys welcome to our new blog  RMBG-2.0 for Background Removal App – The Ultimate AI-Powered Solution . In digital content creation,  background removal  has become an essential task for designers, photographers, and developers. Whether you're working on  e-commerce product images, social media content, or graphic design , having a  fast, efficient, and high-quality  background removal tool is a game-changer. This is where  RMBG-2.0  comes into play.

Hi Guys! welcome to new blog, and In this blog we will talk about  Color Spaces  in image processing and computer vision, a  color space  is a specific way of representing colors using numerical values. Different color spaces are used for different purposes, such as  displaying images, processing colors, and detecting objects .

Hi Guys! Welcome to the PART-2 of Getting Started with OpenCV -  Working with Grayscale Images using OpenCV and Python3 . In this step by step tutorial we are going to learn about What are grayscale images ? How to convert image from RGB to Grayscale ? How to do the depth analysis of an image ? What are Grayscale Images in Image Processing ? A Grayscale Image is a 1D image whose every pixel represents a single color plane, which is know as gray. Gray color plane is a single intensity value plane. It is very different from RGB color plane which has 3 color planes Red(R - 0 -> 255) , Green(G - 0 -> 255) and Blue(B - 0 -> 255) but in Grayscale images has only one color plane which is gray and intensity values goes from 0(Black) to 255(White) and the values lies in between has different shades of gray. 1. How Grayscale Images Work Each pixel in a grayscale image holds a  single value  that defines the brightness. The range of values depends on the bit-depth: 8-bit ...

Hi Guys, Welcome! to step by step tutorial of  Getting Started with OpenCV - Image Loading, Displaying, Saving and Dimensions . OpenCV is the most popular and open source python library in the field of image processing and Computer Vision. From a very long time I was thinking about to start a blog series about OpenCV, Image processing and Computer Vision and finally I am starting this series of OpenCV blogs with this first blog  Getting Started with OpenCV . So, In this very first tutorial we will start with OpenCV and image processing basics. We are going to learn:

Hi Guys! Welcome to the new blog. While working with OpenCV and Jupyter Notebook, have you came across with this thought that what if you will able to display your live webcam feed in a Jupyter notebook. Usually what happens is whenever you tries to run any computer vision program which requires live webcam feed. It opens in the separate window and I don't like this separate webcam window. So, I decided to write a simple python program which will help to display your live webcam feed in a Jupyter notebook using OpenCV and Python3.

Hi Guys let's start with our new blog. Alright, so you're working on a Python project, and you need to install a bunch of packages. But wait—how do you keep track of all of them? Do you write them down on a sticky note? Nah, that's too messy. That's where the  requirements.txt  file comes in! It helps you list all the necessary dependencies so you (or anyone else) can install them quickly and painlessly.

Ultralytics, the computer vision company which the responsible for the develoment of Yolo object detection models, hs recently lanched the Yolov12 series of object detection models and we are going to try these model. So, In this step by step tutorial we are going to to develop a  Web App for the Object Detection using Yolov12, OpenCV and Gradio Framework  and check the performace of Yolov12.

Now a days Chinese AI company DeepSeek is getting popularity due to it's AI model DeepSeek-R1. So, I decided to try this DeepSeek-R1 model and develop a chatbot app this is why I am creating this tutorial. In this step by step tutorial I am going to show you how you can create an AI Chatbot App using DeepSeek-R1 model . For the development of the chatbot application I am going to use  Streamlit  python web development framework. With the help of  Streamlit  python package you can develop entire chatbot application only with python programming language.