AI News Aggregator

About The Project

AI News Aggregator is a Flask-based web application designed to fetch and display the latest news articles from various sources. The system periodically scrapes news using a Google Colab Notebook and stores the articles in a MongoDB database. The frontend is built with React.js, providing a clean and intuitive interface for users to browse recent news updates.

Key Features:

• Automated News Scraping: Fetches recent articles from multiple sources.
• Database Storage: Stores scraped news in MongoDB for easy retrieval.
• Flask API: Serves the stored news articles to the frontend.
• React Frontend: Displays news articles in an organized format.

Built With

Frontend

• React.js: User-friendly interface for browsing news articles.
• CSS & TailwindCSS: Modern styling for a responsive UI.

Backend

• Flask: Serves the news articles via RESTful APIs.
• MongoDB: Stores scraped news for persistent access.
• Google Colab: Runs the web scraper for fetching news articles.

Getting Started

Prerequisites

Ensure you have the following installed:

• Node.js & npm for the frontend
• Python & pip for the backend
• MongoDB for database storage

Installation

Clone the Repository:

   git clone 
   cd Flipr

Install Backend Dependencies:

   cd backend
   pip install -r requirements.txt
   python app.py 

Install Frontend Dependencies:

   cd ../frontend
   npm install
   npm start  # Start React app

Usage

1. Run the Web Scraper: Execute the Google Colab Notebook to scrape and store recent news in MongoDB.
2. Start the Backend: Flask serves the stored articles via API.
3. Launch the Frontend: React frontend displays the latest news articles.

Deployment Guidelines

1. Host the backend: Deploy the Flask server on AWS/GCP/Azure/Render.
2. Host the frontend: Deploy the React app using Vercel or Netlify.
3. Database: Use MongoDB Atlas (free-tier recommended).
4. Run Scraper: Periodically execute the Google Colab Notebook for fresh news.

License

Distributed under the MIT License. See LICENSE.txt for more information.