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.
Panchal et al. (Thu,) studied this question.
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