https://github.com/rjohnpaul/echonews
News Search Engine using more than 50+ RSS Feeds and MiniLM-L12-v2
https://github.com/rjohnpaul/echonews
jupyter-notebook nextjs rss-aggregator rss-feed shadcn-ui tailwindcss tensorflow
Last synced: 3 months ago
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News Search Engine using more than 50+ RSS Feeds and MiniLM-L12-v2
- Host: GitHub
- URL: https://github.com/rjohnpaul/echonews
- Owner: RJohnPaul
- Created: 2025-03-23T04:19:00.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-01T15:49:57.000Z (over 1 year ago)
- Last Synced: 2025-04-01T16:52:53.666Z (over 1 year ago)
- Topics: jupyter-notebook, nextjs, rss-aggregator, rss-feed, shadcn-ui, tailwindcss, tensorflow
- Language: Jupyter Notebook
- Homepage: https://newsaihyd.vercel.app/
- Size: 2.53 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# EchoNews: AI-Powered News Aggregation Platform
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## Overview
EchoNews is a sophisticated AI-powered news aggregation and summarization platform that transforms how users consume digital content. Leveraging cutting-edge artificial intelligence, EchoNews automatically collects articles from diverse RSS feeds, processes them through advanced machine learning models, and delivers personalized, concise summaries tailored to individual preferences. Built on a robust architecture integrating Next.js for the frontend and FastAPI for the backend, EchoNews creates an intuitive and seamless news experience.
## Key Features
- **Intelligent News Personalization**: Advanced algorithm that curates content from multiple RSS sources based on user preferences and reading patterns
- **State-of-the-Art AI Summarization**: Utilizes LLaMA and other sophisticated AI models to generate comprehensive yet concise article summaries while preserving key information
- **Dynamic Category Navigation**: Intuitive filtering system allowing users to explore news across multiple dimensions and interests
- **Responsive Cross-Platform Design**: Meticulously crafted interface optimized for seamless experiences across desktop, tablet, and mobile devices
- **High-Performance Backend**: Scalable FastAPI architecture ensuring rapid response times and efficient data processing
## Technical Architecture
### Frontend
- **Framework**: Next.js with React for component-based UI development
- **Styling**: TailwindCSS for responsive design and consistent visual identity
- **State Management**: React Context API and custom hooks for efficient state handling
### Backend
- **API Framework**: FastAPI for high-performance, asynchronous request handling
- **Language**: Python 3.8+ with type annotations
- **Data Processing**: Custom NLP pipelines for content analysis
### Infrastructure
- **To Do ->** `Database: PostgreSQL hosted on Supabase for reliable data persistence`
- **AI Integration**: LLaMA model optimized for text summarization tasks
- **Deployment**: Vercel for frontend services, Render for backend processes and fastapi initialization
## Installation Guide
### Prerequisites
Before beginning installation, ensure your development environment includes:
- Node.js (version 16.x or higher)
- Python (version 3.8 or higher)
- Git for version control
### Setup Instructions
1. **Clone the Repository**
```bash
git clone https://github.com/RJohnPaul/newsAI.git
cd newsAI
```
2. **Configure Frontend Environment**
```bash
npm install
```
3. **Prepare Backend Services**
```bash
pip install -r requirements.txt
```
4. **Launch Development Environment**
```bash
npm run api-all
```
This command initializes both the Next.js frontend server and FastAPI backend services simultaneously.
## Localhost Running
- replace the const ```bash BASE_URL = "https://newsai-swc7.onrender.com" ``` at **api/news/route.ts** and change env value of ```NEXT_PUBLIC_API_URL```
## API Documentation
The EchoNews backend exposes several RESTful endpoints for integration:
- **Article Retrieval**: `/api/news/sources/{language}`
- Gets list of available news sources for a specific language
- **Main Article Fetching**: `/api/news`
- Returns article without language
- Includes article counts and relationship metadata
- **Api Running Checker**: `/api/Helloapi`
- Returns a sample message : "Hello from FastAPI powered by Gemini 1.5 Flash"
- This makes sure the api is running in backend
## Research Papers based on concept
- [IEEE-Explore-paper-1](https://ieeexplore.ieee.org/document/5072521)
- [IEEE-Explore-paper-2](https://ieeexplore.ieee.org/document/5578100)
## Contributing to EchoNews
We welcome contributions from developers of all skill levels. To contribute:
1. Fork the official repository
2. Create a feature branch with descriptive naming (`git checkout -b feature/enhanced-summarization`)
3. Implement your changes with appropriate tests
4. Commit with clear, descriptive messages (`git commit -m "Implemented enhanced summarization algorithm"`)
5. Push to your fork and submit a detailed pull request
## Updates
- Modified and Boosted the API fetching speed from 13.82 s to 4 - 6 s (approx)
## Why Not Try on Collab?
- There is a [ML-Model](https://colab.research.google.com/drive/1PkJF65fwN8w_OoccX2jg0o1P8Cjzp6ah?usp=sharing) which is in google collab and can be used to test the model
---
This project is built upon the architectural foundation of the [Next.js FastAPI boilerplate](https://github.com/digitros/nextjs-fastapi), extending it with custom AI capabilities and news-specific features.