Welcome to the Algorithm Analysis Website! This project utilizes Next.js, React.js, and Tailwind CSS to provide a platform for analyzing and visualizing algorithms. Whether you're a student learning about algorithms or a professional wanting to explore different algorithms, this website is designed to help you better understand their performance and behavior.
-
Algorithm Visualization: Experience algorithms in action through interactive visualizations. Watch how algorithms work step by step to solve various problems.
-
Performance Analysis: Compare different algorithms' performance in terms of time complexity and space complexity. Make informed decisions about which algorithm to use for specific scenarios.
-
User-Friendly Interface: The website's intuitive interface makes it easy to navigate and interact with different algorithms. It's designed with both beginners and experts in mind.
-
Responsive Design: The website is responsive and works seamlessly on various devices, from desktops to smartphones.
-
Next.js: Next.js is a powerful React framework that enables server-side rendering, routing, and optimized performance.
-
React.js: React.js is used to build the user interfaces and interactive components of the website, providing a dynamic and engaging user experience.
-
Tailwind CSS: Tailwind CSS is responsible for the website's styling. It follows a utility-first approach, making it easy to create responsive and visually appealing designs.
Follow these steps to get the project up and running on your local machine:
-
Clone the Repository: Start by cloning this repository to your local machine.
git clone https://github.com/arnab-4/Algo-analysis.git
-
Navigate to the Project Directory: Move into the project directory.
cd Algo-analysis
-
Install Dependencies: Install the project dependencies using your package manager (npm or yarn).
npm install # or yarn install
-
Run the Development Server: Start the development server to see the website in action.
npm run dev # or yarn dev
-
Access the Website: Open your web browser and navigate to http://localhost:3000 to access the Algorithm Analysis Website.
Contributions to the project are welcome! If you find a bug, have an enhancement in mind, or want to add new algorithms, feel free to create a pull request. Be sure to follow the project's code of conduct.
Happy algorithm analyzing! If you have any questions or need further assistance, please don't hesitate to contact us.
Copy and paste this code into your README file, replace `your-username` in the repository URL, and ensure you have the appropriate `LICENSE` file in your repository directory.