This project is a portfolio website showcasing the application of Data Structures and Algorithms (DSA) in solving real-world problems, with a focus on Amazon's Ecosystem. It highlights projects, case studies, and technical expertise in various domains.
- Hero Section: A visually appealing introduction with animations and a dynamic layout.
- About Section: Detailed information about the author, skills, and educational background.
- Amazon Services: Overview of Amazon's ecosystem and its technological impact.
- Case Studies: Real-world applications of algorithms in Amazon's business use cases.
- Projects Section: Showcases technical projects with detailed descriptions, tech stacks, and highlights.
- Responsive Design: Fully optimized for all screen sizes and devices.
- Modern UI/UX: Amazon-inspired color palette, animations, and hover effects.
- Frontend: HTML5, CSS3, JavaScript
- Styling: Custom CSS with reusable variables and responsive design
- Icons: Font Awesome for modern and scalable icons
- Animations: CSS animations for smooth transitions and effects
-
Hero Section:
- Introduction with a dynamic tech sphere and call-to-action buttons.
- Highlights the intersection of algorithms and Amazon's ecosystem.
-
About Section:
- Personal details, skills, and educational background.
- Includes a quote and timeline for a professional touch.
-
Amazon Services:
- Overview of Amazon's diverse services and their technological backbone.
-
Case Studies:
- Real-world algorithmic solutions for Amazon's business challenges.
-
Projects Section:
- Detailed descriptions of projects like:
- Includes tech stacks, highlights, and links.
- Clone the repository:
git clone https://github.com/your-username/aps-portfolio.git
- Open the
index.html
file in your browser.
aps/
├── css/
│ ├── style.css # Main stylesheet
├── index.html # Main HTML file
└── README.md # Project documentation
- Add backend integration for dynamic content.
- Include a blog section for technical write-ups.
- Optimize for performance and accessibility.
This project is licensed under the MIT License. Feel free to use and modify it for your own purposes.