Discover @ajitharunai Open Source projects

AJITH KUMAR M (@ajitharunai)

ajitharunai

Stars
36
Global Rank 430,311 (Top 15 %)
Followers 23
Following 8
Registered over 3 years ago
Most used languages

Python
41.9 %

JavaScript
29.0 %

CSS
12.9 %

SCSS 9.7 %

HTML
6.5 %
Location 🇮🇳 India
Country Total Rank 15,598
Country Ranking

SCSS 268

CSS
3,585

Python
5,317

JavaScript
8,465

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 user

Resume-Builder-Wep-App

Social Connectivity Project

Instagram_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-learning

Music-Player-Responsive-API

Age-and-Gender-Detection-using-opencv-project

age and gender detection using Opencv

css_login_page_responsive

Covid-Tracker-Using-Python

Covid-Tracker-Using-Python

interest_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.