📰 NewsAI — Fake News Detection App

NewsAI is a Flask-based web application where users can register, create posts, like, report, and verify news using Google's Gemini AI model. The platform incorporates a Gemini-powered fact-checking system to detect potential misinformation in user-submitted posts.

🚀 Live Demo

🔗 https://jmigram.onrender.com/login?next=%2F

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📂 Project Structure

C:.
│   .env
│   gem.py
│   render.yaml
│   requirements.txt
│   run.py
│   text.py
│   
├───flaskblog
│   │   forms.py
│   │   models.py
│   │   routes.py
│   │   __init__.py
│   │   
│   ├───static
│   │   │   main.css
│   │   │
│   │   └───profile_pic
│   │
│   ├───templates
│   │       about.html
│   │       account.html
│   │       create_post.html
│   │       home.html
│   │       layout.html
│   │       login.html
│   │       post.html
│   │       register.html
│   │       reset_request.html
│   │       reset_token.html
│   │       user_posts.html
│   │
│   └───__pycache__
│           form.cpython-313.pyc
│           forms.cpython-313.pyc
│           models.cpython-313.pyc
│           routes.cpython-313.pyc
│           __init__.cpython-313.pyc
│
└───instance
        site.db

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💡 Features

• 🧾 User Authentication
  • Register/Login/Logout
  • Password Reset via Email
• 📝 Blog Posting
  • Create, update, and delete posts
  • Like or report others' posts
• 🤖 Fake News Detection
  • Automatically checks posts via Gemini AI
  • Flags suspicious content using AI-generated verdict
• 📸 User Profiles
  • Upload and manage profile pictures
• 📊 Post Insights
  • Likes vs Reports shown clearly
• 🌐 Responsive UI with custom CSS and Bootstrap

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🛠️ Tech Stack

• Python 3.x
• Flask
• Flask-WTF, Flask-Login, Flask-Mail, Flask-Bcrypt
• SQLite (SQLAlchemy)
• Google Generative AI (gemini-2.5-flash)
• Pillow for image handling
• Deployed on Railway or Render

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⚙️ Setup Instructions

1. Clone the repository

git clone https://github.com/FurkanKhann/BlogApp.git
cd NewsAI

2. Create a virtual environment and install dependencies

python -m venv venv
source venv/bin/activate  # For Windows: venv\Scripts\activate
pip install -r requirements.txt

3. Create .env file

SECRET_KEY=your_secret_key
EMAIL_USER=youremail@example.com
EMAIL_PASS=your_email_password
API_KEY=your_google_gemini_api_key

4. Run the app

python run.py

🚀 Deployment (Railway/Render)

1. Ensure you have a render.yaml file for Render or configure Railway environment variables.
2. Add this to your root:

Procfile
------
web: gunicorn run:app

3. Push to GitHub and connect your repo to Render or Railway.
4. Set all environment variables (.env) on the platform dashboard.