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An AI-powered Retrieval-Augmented Generation (RAG) assistant that analyzes financial news and answers user queries. It retrieves relevant articles using vector search and generates context-aware responses with a large language model.
A sophisticated news processing pipeline that combines AI-powered content extraction, advanced NLP techniques, and interactive data visualizations to provide comprehensive news analysis across multiple categories.
Successfully developed a news summarization model using a Seq2Seq architecture with attention mechanism to generate concise and contextually accurate summaries from long-form news articles.
A Telegram bot that fetches French news via RSS, summarizes the content using NLP, translates it into Russian, and delivers it to users in a friendly chat interface.
NewsAggregator is a full-stack web application that aggregates and summarizes news articles from various sources using React and Flask. Stay updated with the latest news and concise summaries in a user-friendly interface.
A full-stack AI-powered web app for automated news summarization and claim verification. Built as part of a final year project using React, Flask, PostgreSQL, and fine-tuned NLP models (BERT, T5).
AI-powered web app for multilingual news summarization. Processes Arabic/English/French articles through neural translation and BART summarization. Deployed on HuggingFace Spaces with SQLite caching (2,000x speedup). Built with Streamlit.
🚀 BriefLens — AI-powered platform for fast news summarization from video, audio, and text using Groq. Includes fake news detection, interactive Q&A, and a live digital news feed.