Real-time News Intelligence Integrating Dynamic Content with Adaptive APIs

N.Nagoor Meeravali; Gutha Siri vennela; Linga.Bhargavi; Yadhapalli Raghavendra; Padala Dineshkumar

doi:10.62643/

Authors

N.Nagoor Meeravali Author
Gutha Siri vennela Author
Linga.Bhargavi Author
Yadhapalli Raghavendra Author
Padala Dineshkumar Author

DOI:

https://doi.org/10.62643/

Keywords:

Django, News analytics, Real-time processing, API integration, Sentiment analysis, Data visualization, Adaptive filtering, User authentication, Information security

Abstract

Real-Time News Intelligence platform is developed using Django to leverage dynamic content and adaptive APIs, delivering timely and actionable insights from a diverse range of news sources. This system efficiently processes, categorizes, and prioritizes news in real time, empowering users with data-driven decision-making capabilities. Built on Django’s robust framework, the platform integrates real-time API ingestion, adaptive filtering, and sentiment analysis. It offers an intuitive, user-friendly interface with customizable dashboards and interactive data visualizations. Security remains a top priority, ensuring data integrity, user authentication, and compliance with privacy regulations. Extensive testing across multiple news categories validates the system’s reliability and adaptability. By merging Django's scalable architecture with cutting-edge data processing technologies, this platform enhances the way users engage with and interpret real-time news data.