Fake News & News Credibility Analyzer (Final Year Project)
AI FactShield is a complete Machine Learning + Web Application project designed to detect fake news and calculate a credibility score (0–100%). This project not only classifies news as Real or Fake but also performs sentiment analysis, highlights suspicious keywords, and stores analysis history in a database.
This is a fully working, ready-to-run project developed using Python, Flask, Scikit-learn, SQLite, HTML, CSS, and JavaScript. It is specially designed for BCA, B.Tech, MCA, and MSc IT final year students.
Project Features
Fake News Detection using Machine Learning
News Credibility Score Generation (0–100%)
Sentiment Analysis
Suspicious Keyword Highlighting
Admin Dashboard
User History Storage in Database
Clean Web Interface (Frontend + Backend)
SQLite Database Integration
Technology Used
Python
Flask Framework
Scikit-learn
SQLite Database
HTML, CSS, JavaScript
AI Fake News Detection
Why This Project is Best
Includes credibility score instead of only Real/Fake classification
Modern Web Application Architecture
Admin panel with stored analysis history
Practical real-world problem solution
Trending topic in AI and Data Science domain
What You Will Get
Complete Source Code
Database Setup File
Page Documentation + PPT (Kindly inform us at least 1 days in advance ₹499 for that)
System Design Diagrams (DFD, ER Diagram, Architecture)
Viva Questions & Answers
Installation Guide
This project is ideal for students who want a strong AI-based final year project that looks practical, modern, and industry-relevant during viva and project presentation.
If you want to save your time and avoid last-minute project stress, this ready-to-run project package is the perfect solution.
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