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Basic-Python-Programs
Python is a high-level, interpreted programming language that is used for a wide range of applications, including web development, scientific computing, data analysis, artificial intelligence, and more. Here are some basic Python programs.Personal-Blog-Page
https://pythonajith.netlify.app/personal-portfolio
https://ajitharunai.netlify.app/EB_Bill-Responsive-Format-Using-html
EB Bill responsive format without getting input in userInstagram_id_deatails_cracking
Eye-blink-count-detection-using-opencv
Poll-UI-Design
Virtual-reality-Air-Drums-band-using-python
Fun-password-guessing-python-project
Car-Game-using-js
virtual_piano
Message-Encryption-and-Decryption-tool-using-Python-Gui-Tkinter-project
Responsive-Resume-Web-page
Text-To-Speech-Converter
Responsive-Web-API
Bithday-Counter-using-Js
Parking-Space-Counter-using-Machine-learning
Car Parking-Space-Counter-using-Machine-learningMusic-Player-Responsive-API
Age-and-Gender-Detection-using-opencv-project
age and gender detection using Opencvcss_login_page_responsive
Covid-Tracker-Using-Python
Covid-Tracker-Using-Pythoninterest_calculator
Web-design-in-Tamil-Learning-Web-page
Responsive-Weather-API
Face-Depth-Measurement-Using-machine-Learning
WhatsAppBot-using-Python
System Requirements:Developer-Portfolio
People find writing about themselves difficult. The question of how to distill your work down to a short, simple description is difficult regardless of how long you’ve been in your profession. The goal of creating an About Me page is to help you market yourself.Touchless-User-Interface-For-Sketching-Using-Hand-Gesture-Recognition
The study presents a solution for a hand identification system for air application sketching. The experimental accuracy is 98.48 percent, which meets real-world requirements. Traditional writing and teaching approaches may be challenged by this system.portfolio-responsive-complete_web_page
Volume-Brightness-control-using-hand-gesture-using-python-and-openCv
The camera in our device is used for this project. It detects our hand with points in it so as it can see the distance between our thumb finger tip and index finger tip. The distance between the points 4 and 8 is directly proportional to the volume of device.OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks. Building a Brightness Controller with OpenCV can be accomplished in just 3 simple steps: Step 1. Detect Hand landmarks Step 2. Calculate the distance between thumb tip and index finger tip. Step 3. Map the distance of thumb tip and index finger tip with volume range. For my case, distance between thumb tip and index finger tip was within the range of 15 - 220 and the volume range was from 0 - 100.It's same as Volume Control Using Hand Detection & Brightness Control Using Hand Detection. Only difference is now we can manage brightness with left hand & volume with right hand simultaneous.Love Open Source and this site? Check out how you can help us