Newsly: A User-Centric Personalised News Application For Efficient Content Filtering

In today's digital age, users are overwhelmed with an excessive amount of information from various news platforms. Finding relevant and personalized news becomes difficult and time-consuming. The objective of this project, Newsly, is to develop a personalized news application that delivers curated news content based on user interests. The application allows users to select their preferred categories and generates a customized news feed using real-time data from NewsAPI. Built using React (Vite), the system focuses on simplicity, responsiveness, and user experience. Instead of implementing a complex backend, localStorage is used to simulate authentication and data persistence for demonstration purposes. This project demonstrates how modern frontend technologies can be leveraged to build efficient, scalable, and user-centric applications. Future enhancements may include AI-based recommendations, real-time updates, and backend integration.