Abstract In today’s fast-paced digital era, users face information overload and lack sufficient time to stay updated with global events. This project proposes an AI-driven platform that automatically collects daily news from reliable sources, summarizes them using Natural Language Processing (NLP), and generates professional-quality news videos through AI-based text-to-speech and virtual news anchor technology. The system personalizes content based on user interests, language preferences, and time availability, and also integrates fake news detection to ensure content credibility. The proposed solution aims to deliver accurate, concise, and engaging daily news briefings in the form of short AI-generated videos.
Problem Statement • Users lack time to read long news • Information overload • Fake news issues ...
Solution An AI-driven platform that collects, summarizes, verifies, and converts news into short personalized videos with AI anchors.
Key Features • AI news summarization • Virtual news anchor • Multilingual support • Fake news detection • Short & long video modes
Tech Stack Python, NLP, FastAPI, Streamlit, GitHub, Cloud
Open Source Contribution This project is open-source and aims to provide an extensible framework for AI-generated news video systems.
Built With
- cloud
- concise
- fastapi
- github
- language-preferences
- natural-language-processing
- python
- streamlit
- summarizes
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