PRRTYHYGJHJGJHGJHGHGHGYGHHFGHGHFHVGHFGHH

KJJKHK

1. BRINDAVAN INSTITUTE OF TECHNOLOGY & SCIENCE (BITS-KNL) ( Affiliated to JNTUA,A.P.) NH-7,PEDDATEKUR,KURNOOL-518218 DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING(AI&DS) a Internship Review on MULTILINGUAL NEWS EXPERIENCE WITH AI-ASSISTANT PRESENTED BY Virus Vixens Names Roll number A.Jishnu Karthik Sharma 212N1A3001 P.Jakeer 212N1A3002 S.Vishnu Vardhan 212N1A3003 T.Sreedhar 212N1A3004 Mr. S. Srihari Reddy Assistant Professor & Head, Department of CSE Mr. S. Srihari Reddy Assistant Professor & Head, Department of CSE Guided by

2. ABSTRACT This project is used for the daily news up-to-dates , for the users to know information they want to know in different languages. The frontend is built using HTML, CSS, JavaScript , and React.js to make it easy to use. Backend : using Node.js or Python frameworks , for the translation Google Cloud Translation API . People often find it hard to access news from many different sources, especially when they don’t understand the language. It’s also challenging to find specific news without help. We are creating a news website that gathers news from various sources, translates it into different languages, and includes a friendly AI assistant to help users find what they need. This will make it easier for people to stay informed, no matter what language they speak, and provide them with personalized news. For this translation languages the google API is major factor for this project.

3. OBJECTIVES Aggregate News Content : Collect news articles from various sources and present them in a unified platform. Multilingual Support : Translate both the website interface and news articles into multiple languages. AI Chatbot Assistant : Integrate an AI chatbot to assist users in navigating the website, finding news articles, and providing personalized recommendations. User-Friendly Interface : user-friendly interface for easy navigation and reading.

4. MODULES News Aggregation Module: Implement scripts to collect news articles from various sources. Categorize and store news articles in the database. Translation Module: Integrate the selected translation API for real-time translation of news articles. Ensure the accuracy and contextual relevance of translations. AI Chatbot Integration Module: Develop the chatbot using Dialog flow or Microsoft Bot Framework. Train the chatbot to handle user queries and provide personalized news recommendations.

5. LITERATURE REVIEW Multi-News Dataset (Fabbri et al., 2019) "Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model“ CNN/Daily Mail Dataset(Hermann et al., 2015) Used for summarization and question answering tasks. NewsQA ( Trischler et al., 2017) A dataset designed for reading comprehension in news articles. GDELT (Global Database of Events, Language, and Tone) Tracks global news trends and sentiment analysis.Provides multilingual data across news outlets. BuzzFeed Political News DatasetA dataset for fake news detection, containing annotated real and fake news articles.