Oluyemi Paul's starred repositories
ToDoList
To Do List is a single page web app that lets users manage a simple list of tasks. Users can add and remove tasks from the list. It was coded using standard technologies like HTML5, CSS3 and JavaScript; and has an object-oriented approach using a model view presenter pattern.
microverse_Alex_-_Oscar
Practice exersice to access the MIcroverse program. Used CSS and HTML
github-slideshow
A robot powered training repository :robot:
project-media
A simple design of a video player site using HTML and CSS
Portfolio
Responsive site from Mobile to desktop. Designed took from Figma. Used Flexbox for the header and the 1st page. Combile Grid and Flexbox to build the work area. Used media queries to make the site responsive. Used animations a transitions to make the site more friendly to the user. Used JavaScript to enable/disable the mobile menu from the navbar
Capstone-Project
Responsive site from mobile to desktop. It was based on Cindy Shin in Behance design. It changes in between the from screen and the about page.The concept was to simulate a promotion to a big rock concert.
Awesome-Books
A simple application that keeps records of books added by title and author. takes advantage of the localStorage to keep the information even when the site is refreshed. Also gives the opportunity to delete books from the list. SPA Dynamic page.
To-Do-List
Application that uses the localStorage to keep the information on the activities that are pending to be done and also those that are completed. It provides an option to edit activities and also delete them. The clear all applies to those that are marked as completed by selecting the checkbox.
hello-world
I will like to know about the culture of different countries
The-Conference
For this project, I created a dynamic website for a technology conference. Drawing on my design skills and creativity, I developed a unique and engaging event theme that served as the foundation for the website's content. To showcase the latest trends and advancements in the tech industry.
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
30-seconds-of-code
Short code snippets for all your development needs