Short Explanation
The Lestari Grid Network website is conceived as a hub showcasing articles from diverse brands on the grid network, all curated through the power of machine learning, reflecting KG Media's unwavering commitment to sustainability via the 17 agendas of the Sustainable Development Goals. 'Lestari' embodies KG Media's collective resolve, bringing together a range of impactful measures aimed at bolstering the progress towards the 17 Sustainable Development Goals through the media outlets under the KG Media network..
Project Goals
This project aims to showcase and unify articles from a multitude of brands within a meticulously structured grid network. This system, driven by machine learning and automated tagging, filters and organizes the content for seamless integration. Finally, the carefully curated content is delivered through a robust API for easy access and use.
Tech Stack Used
- Next.Js
- Tailwindcss
This project is fundamentally rooted in the synergistic fusion of Next.js and Tailwindcss. We harness the might of Next.js and Tailwindcss to offer an unparalleled user-friendly development journey, coupled with superior loading times, making the construction of dynamic websites a breeze. More specifically, Next.js enhances data handling by retaining all data in js files, which effectively maps them on distinct pages and integrates seamlessly with APIs. This tidy arrangement eases updates or modifications - tweak the data, and the markup intuitively falls into position.
The Problems and How I Deal With It
As we embark on this journey, our foremost hurdle is time management, as comprehensive planning and quick implementation of each website element is essential. Therefore, to maintain efficiency and control over this process, we thoughtfully break the project down into manageable, digestible chunks throughout the development phase of the application.
Attribution
- Aldy Azarya
- Nanang