Welcome to AquaLink, a project aimed at enhancing the India Water Portal by enabling user-generated content through event posting, server-side rendering, and lazy loading techniques. This project is part of my application for the Code for GovTech (C4GT) 2024 initiative.

AquaLink is a Next.js application designed to connect water enthusiasts and foster collaboration on water conservation efforts. By providing a platform for sharing articles, events, opportunities, and translations, AquaLink aims to enrich the community's knowledge base and engage users in meaningful ways.

1. Event Posting: Users can create and share events related to water conservation and management.
2. Server-Side Rendering (SSR): Efficiently render pages on the server to improve performance and SEO.
3. Lazy Loading: Load components as they are needed to enhance the application's performance and user experience.

• Next.js: A React framework for server-side rendering and static site generation.
• Tailwind CSS: A utility-first CSS framework for designing responsive and modern interfaces.
• TypeScript: A statically typed superset of JavaScript that enhances code quality and maintainability.

• User Contributions: Allow users to post articles, events, and opportunities, and to translate content.
• OAuth Authentication: Enable users to log in using platforms like Drupal and Disqus.
• Role-Based Access Control: Implement a system to manage user roles and permissions.
• Enhanced UI/UX: Create a user-friendly and intuitive interface for submitting and managing content.

Users can post events through a dedicated form. This feature is designed using Next.js dynamic routes and Tailwind CSS for a seamless user experience.

To improve performance and SEO, key pages are rendered on the server. This is achieved by utilizing Next.js’s getServerSideProps and getStaticProps functions.

Components and images are lazily loaded to reduce initial load times and improve overall application performance. This is implemented using React's React.lazy and Next.js's native image optimization capabilities.

We welcome contributions from the community. To contribute:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/your-feature-name

3. Commit your changes:

   git commit -m 'Add some feature'

4. Push to the branch:

   git push origin feature/your-feature-name

5. Open a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

For any questions or suggestions, feel free to contact me:

• Name: Yash Panjwani
• Email: [email protected]
• GitHub: younglord088

Special thanks to the Code for GovTech community for their support and guidance throughout this project.