🗣️ 4. AI-Powered Fake News Detector

📌 Project Description:

A web app that detects fake news articles using NLP techniques. Users can enter a news article or a URL, and the AI model will classify it as real or fake based on linguistic patterns and credibility analysis.

🔹 Key Phases of the Project:

✔ User Authentication & Dashboard
🔹 Secure JWT-based authentication (Users can check their analysis history).
🔹 Simple UI to input news text or a URL for verification.

✔ Text Preprocessing & Feature Extraction
🔹 Clean text (remove stop words, punctuation) using NLTK / spaCy.
🔹 Convert text into numerical features using TF-IDF / Word2Vec / BERT embeddings.

✔ Fake News Classification
🔹 Train a Logistic Regression / LSTM / BERT model to classify news articles.
🔹 Use a pre-trained Fake News dataset (LIAR, FakeNewsNet, Kaggle datasets).

✔ Credibility & Sentiment Analysis
🔹 Check source credibility using domain trust scores.
🔹 Perform sentiment analysis to detect extreme bias in news.

✔ Database & Performance Optimization
🔹 Store analyzed articles & results in MongoDB / PostgreSQL.
🔹 Implement Redis caching for frequently checked articles.

✔ Deployment & Security
🔹 Deploy using AWS / Render / Railway.
🔹 Ensure CORS security, authentication, and API rate limiting.

📂 Project Deliverables:

✅ 📊 Professional PPT – Covers NLP techniques & fake news classification.
✅ 📁 Source Code – Full-stack implementation using FastAPI + React.js.


💰 Project Price: ₹6,500/-

A powerful AI tool to combat misinformation! 🔥📰