This repository contains the source code for a professional and responsive portfolio website built with Next.js. The portfolio is designed to showcase personal projects, skills, and experience in a modern and visually appealing format.
- Dynamic Content Loading: Utilizes Next.js features like server-side rendering (SSR) and static site generation (SSG) for efficient content delivery.
- Responsive Design: Fully compatible with desktops, tablets, and mobile devices.
- Portfolio Showcase: Dedicated sections for personal details, skills, and a gallery of projects with descriptions and links.
- Interactive Elements: Smooth navigation, interactive UI components, and animations.
- Modern Tech Stack: Built with Next.js, React, and styled with CSS/SCSS or Tailwind CSS.
/pages
: Contains route-specific components (e.g., Home, About, Projects, Contact)./components
: Reusable React components (e.g., Header, Footer, ProjectCard)./styles
: Custom CSS or SCSS files for styling./public
: Static assets like images and icons./api
: Backend API routes for handling dynamic content or form submissions.
- Next.js: Framework for React with SSR and SSG capabilities.
- React: Core library for building UI components.
- CSS/SCSS: For styling the application.
- JavaScript/TypeScript: JavaScript is used, and TypeScript may be employed for type safety.
- Vercel: Hosted on Vercel for seamless deployment.
Ensure you have the following installed:
- Node.js (v14 or higher)
- npm or yarn
-
Clone the repository:
git clone https://github.com/stathisiakovidis/personal-portfolio-next.git cd personal-portfolio-next
-
Install dependencies:
npm install
-
Run the development server:
npm run dev
-
Build for production:
npm run build
-
Start the production server:
npm start
- Dark Mode: Add a light/dark theme toggle for improved accessibility.
- Blog Section: Include a blog section to share insights or tutorials.
- Internationalization (i18n): Support multiple languages for a global audience.
- Analytics: Integrate tools like Google Analytics to track visitor metrics.
This project is licensed under the MIT License.