Deepfake detection model This project is an AI-powered Deepfake News Detection Web Application that allows users to input a news article URL and determines whether the news is real or fake using machine learning. 🚀 Features: Fake News Detection: Uses a trained ML model to classify news as real or fake. Web-Based Interface: Built with React.js for an intuitive user experience. Backend API: Developed using Node.js and Flask/FastAPI for processing and predictions. Database Integration: Utilizes MongoDB to store and manage news data. Scalability & Performance: Optimized for fast analysis and accurate results.

🛠 Tech Stack: Frontend: React.js Backend: Node.js, Flask/FastAPI Database: MongoDB Machine Learning: Python, Scikit-Learn, NLP techniques

📌 How to Run: Clone the repository: git clone https://github.com/your-username/deepfake-news-detector.git cd deepfake-news-detector

Install dependencies: npm install # For frontend pip install -r backend/requirements.txt # For backend

Start the backend: python backend/app.py # Or flask run / uvicorn main:app --reload Start the frontend: npm start Open the app in your browser and test URLs for fake news detection!