DanielDdungu/elparking-frontend-quiz-app

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Created over 2 years ago
Updated over 2 years ago

DanielDdungu/elparking-frontend-quiz-app

DanielDdungu

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my-first-react-app

Cash-Refgister

Design a cash register drawer function checkCashRegister() that accepts purchase price as the first argument (price), payment as the second argument (cash), and cash-in-drawer (cid) as the third argument.

elparking_frontend

real-estate-app

sorting.json

Database for sorting app

sorting-hat-application

Website-Developement

My website development design projects

Tribute

danielddungu2

Personal portifolio

8.-Modern-Email-Starter-Files

Survey_Form

FreeCodeCamp survey form for responsive web design design projects

sorting-hat-minimal

expense-tracker-app

customer_support

react-sandbox

goal_app

Goal React Application

Product-Lister

customer-feedback

Personal

Test

Demonstration on how to create a repository

DanielDdungu

https---github.com-DanielDdungu-Tribute_Website

task-tracker-app

airbnb-clone

Airbnb clone website

Regestration-Form

Personal_portfolio-

My personal portfolio website describing and showcasing the projects I have worked on and testimonials from my trusted clients.

Real-Time-Face-Recognition

Real-time face recognition and classification system is an important security system of Image processing owing to its use in many institution security fields such as airports, Offices, University, ATM, Bank and in many locations with a security system [1] . Real-time refers to the actual time during which a process takes place or an event occurs. Face recognition is the automated searching of a facial image in a computer database, typically resulting in a group of facial images ranked by computer-evaluated similarity [2] . This recognition is done using biometric technology and forensics. Face recognition system should be able to automatically detect a face in an image. This involves extraction of its features and then recognizing it, regardless of lighting, expression, illumination, aging, transformations (translate, rotate and scale image) and pose. Feature extraction includes extracting landmarks on the face and analyzing the features using the algorithm to obtain their relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw.