Mr. AI Engineer

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.