IntelliNews is a web-based news aggregator built with Django, HTML, CSS, JavaScript, Tailwind CSS, and SQLite3. It offers personalized news feeds, sentiment analysis, real-time interactions, and a reporting system to prevent misinformation, with an admin module for content moderation
This project develops IntelliNews, a web-based semantic news aggregator platform designed to provide a seamless, transparent, and personalized environment for users to access and engage with news content. Built using Django, HTML, CSS, JavaScript, Tailwind CSS, and SQLite3, IntelliNews offers a responsive design that ensures accessibility across various devices, including desktops, tablets, and smartphones. The platform features include semantic news categorization, sentiment analysis, personalized news feeds, real-time user interactions, and a reporting system to prevent the spread of misinformation. With a robust admin module for content moderation and user management, IntelliNews promotes trust, accuracy, and an enriched news consumption experience.
Keywords: Semantic news aggregation, transparency, real-time updates, misinformation prevention, personalized feeds, responsive design, user engagement.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hard Disk - 160GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
RAM - 8GB
S/W CONFIGURATION:
β’ Operating System : Windows 10/11 (or Linux/MacOS)
β’ Server-side Script : HTML, CSS & JS
β’ Programming Language : Python
β’ Libraries : Django (v3.2+ or v4.0+)
β’ IDE/Workbench : VS Code
β’ Technology : Python 3.8+ with Django Framework