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Hi there, I'm Daniel Ddungu - Web Developer šŸ‘‹

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I'm a Front End Developer, and a Digital Marketing Specialist!!

  • šŸŒ± Iā€™m currently learning everything šŸ¤£
  • šŸ‘Æ Iā€™m looking to collaborate with other Web Developers
  • šŸ„… 2023 Goals: Contribute more to Open Source projects
  • āš” Fun fact: I love to travel, art and culture.

Connect with me:

codeSTACKr.com

codeSTACKr | Twitter

codeSTACKr | LinkedIn



## Languages and Tools:

Visual Studio Code

HTML5

CSS3

Bootstrap

Sass

JavaScript

React





My GitHub Stats


Daniel Ddungu's Projects

cash-refgister icon 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.

codechallenge icon codechallenge

All my thinking about some code challenge and Free Code Camps

freecodecamp icon freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

personal_portfolio- icon 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 icon 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.

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