Welcome to my personal portfolio website! This project showcases my academic background, projects, technical skills, achievements, and provides a way to contact me. This is a very basic implementation focusing on demonstrating the application of Shepherd.js to create a guided tour.
This portfolio is a multi-page website that highlights my journey as an AI and Machine Learning enthusiast. It includes details about my education, projects, technical skills, and achievements, and provides a contact form for communication.
- HTML: For structuring the web pages.
- CSS: For styling the website.
- JavaScript: For interactive elements and the guided tour using Shepherd.js.
- Shepherd.js (included via CDN): For creating the guided tour.
- Home Page: Overview of who I am and what this portfolio contains.
- Academic Details: Information about my educational background.
- Projects: Descriptions and links to some of my notable projects.
- Technical Skills: A list of the technical skills I possess.
- Achievements: Highlights of my significant achievements.
- Contact Me: Contact details for interested visitors to get in touch with me.
- Guided Tour: An interactive tour to guide visitors through the portfolio.
.
├── index.html # Home page
├── academic.html # Academic details page
├── projects.html # Projects page
├── skills.html # Technical skills page
├── achievements.html # Achievements page
├── contact.html # Contact form page
├── style.css # Central CSS file for styling
├── main.js # JavaScript for Shepherd.js tour
└── README.md # This file
To run this portfolio locally, follow these steps:
- Clone the repository:
git clone https://github.com/DarkRaiderCB/portfolio.git
- Navigate to the project directory:
cd portfolio - Run in terminal:
python -m http.server 8000
- Open a browser of your choice and enter in search box:
http://localhost:8000/
- Open the
index.htmlfile to view the portfolio.
Link: https://youtu.be/CzosNeGrnks
Thank you for visiting my portfolio!