TruthLens-AI 🧠🔍

A full-stack AI-powered application that analyzes and detects potential misinformation in text using modern techniques like NLP and Retrieval-Augmented Generation (RAG).

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🚀 Overview

TruthLens-AI allows users to input text or documents and get AI-based insights on whether the content may be misleading or false. The system combines backend APIs with AI processing to deliver structured analysis.

🚀 Live Demo 👇

Frontend: (https://truthlenss-ai.netlify.app/)

Backend API: https://truthlens-ai-production-021a.up.railway.app

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✨ Key Features

• 🔍 AI-powered fake news and misinformation detection
• 🧠 Intelligent credibility scoring system
• 📰 Real/Fake claim classification
• 🖼️ Screenshot and image text extraction using OCR
• 📄 PDF and DOCX document analysis
• 🔗 Supporting source generation
• 💾 MongoDB-based persistent analysis history
• ⚡ Responsive and production-ready UI
• ☁️ Full-stack cloud deployment (Netlify + Railway)

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🛠️ Tech Stack

Frontend

• React.js
• JavaScript
• CSS3
• Fetch API

Backend

• Node.js
• Express.js
• MongoDB
• Mongoose

AI / Processing

• OCR-based text extraction
• AI verification pipeline
• File parsing for PDF/DOCX analysis

Deployment

• Netlify (Frontend)
• Railway (Backend)

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🧠 System Workflow

1. User submits:

   • Text claim
   • Screenshot/Image
   • PDF/DOCX file

2. System extracts textual content

3. AI verification engine:

   • analyzes the claim
   • detects misinformation patterns
   • generates explanation
   • calculates credibility score
   • returns supporting sources

4. Results are stored in MongoDB for future reference

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⚙️ Installation & Setup

Clone Repository

git clone https://github.com/shivam-js/TruthLens-AI.git

👨‍💻 Developer
Shivam Prasad

Final-year developer passionate about Full Stack Development, AI Integration, and scalable real-world applications.

GitHub: https://github.com/shivam-js