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TruthLens HUD

AI-Powered Fake News Detector with real-time trend analytics and verification tools.

Live Demo Python Modern HUD UI


Overview

TruthLens HUD is a sleek, ultra-modern fake news detection app built with Streamlit.
It combines AI-powered text verification, domain reputation scoring, and Google Trends analysis to provide a quick, clear, and reliable verdict on news articles, headlines, or uploaded text.

The app features a glass-morphism UI, neon highlights, and interactive Plotly trend charts, offering a futuristic and intuitive experience for users.


Features

  • AI Fact-Checking: Veracity scoring using a transformer-based NLP model.
  • Domain Verification: Detects trusted, suspicious, or unknown domains with SSL validation.
  • Trend Analysis: Google search popularity tracking for keywords or headlines.
  • News API Integration: Fetches recent articles for cross-verification.
  • Multiple Input Options: URL, text/headline, or .txt upload.
  • Highlight Flags: Detects sensational words like shocking, secret, miracle, fake, etc.
  • Ultra-Modern HUD UI: Glass cards, neon badges, and interactive charts for clarity.
  • JSON Logging: Save structured analysis results for reference or further analysis.

Live Demo

Try the app instantly without installation:

Open TruthLens HUD in Browser


How to Run Locally

  1. Install Python 3.10 or above.
  2. Clone the repository:
    git clone https://github.com/beenish-1/fakeNews_detecter.git

  1. Install dependencies and Run the app::
 pip install -r requirements.txt
 streamlit run app.py

About

AI-powered fake news detector with ultra-modern HUD interface, fact-checking, domain verification, and trend analysis built with Streamlit.

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