Authors : Amulya K. S.; B. R. Mohan

Volume/Issue : Volume 11 - 2026, Issue 8 - August

Google Scholar : https://tinyurl.com/yx8hs4eh

DOI : https://doi.org/10.38124/ijisrt/26aug825

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Yet although accessing news online has never been easier, the experience tends to be fragmented. Readers frequently have to jump between multiple websites, wade through lengthy articles, or switch between different tools just. To obtain a translation or to have some content read out loud. This constant back-and-forth makes it difficult to stay informed, especially for those who prefer consuming news in their native. People or those who want a hands-free experience. To solve this, we developed Voice-Sync, a web-based news reader that brings the power of Artificial Intelligence into one seamless platform. Built using the Python and the Flask framework, Voice-Sync automatically pulls the latest headlines from NewsAPI and processes via specialized AI modules. When an article has been retrieved, the app produces a brief summary by means of specialized AI modules. Once an article is retrieved, the app creates a concise summary using Natural Language Processing, translates it into various. Convert Indian Languages into clear, natural speech using the text-to-speech feature from Microsoft Edge Neural. Beyond reading the news, Voice-Sync offers voice- controlled navigation, sentiment analysis, bookmarking, and the ability to export reports as PDFs. By streamlining these tasks, we have created a more intuitive, accessible way for users to engage with information without the usual technical friction.

Keywords : Artificial Intelligence, Natural Language Processing, Flask, NewsAPI, Multilingual Translation, Edge Neural Text-toSpeech, Speech Recognition, Sentiment Analysis.

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