Smart News Aggregation & AI Summarization System (NLP)
Automated news intelligence portal aggregating global headlines in real time and generating concise bullet summaries using fine-tuned T5 Transformers.
Smart News Aggregation & AI Summarization System (NLP) is a complete, ready-to-deploy software & FYP codebase designed for university final year projects, academic research, and full-stack development. Includes complete source code, database schema, setup documentation, and technical support across Pakistan.
Smart News Aggregator & AI Abstractive Summarization Engine (NLP)
This cutting-edge Natural Language Processing (NLP) project fetches real-time articles across multiple global and Pakistani news outlets via live APIs and RSS feeds. Using a fine-tuned T5 (Text-to-Text Transfer Transformer) deep learning model, it generates concise, factual 3-sentence summaries and sentiment analysis scores for fast reader consumption.
🧠 Architecture & Tech Stack:
- NLP Summarizer: Hugging Face Transformers with PyTorch (T5-small / BART pipeline)
- News Ingestion: NewsAPI & BeautifulSoup async web scrapers with duplicate deduplication
- Sentiment Engine: VADER / RoBERTa polarity scoring (Positive, Neutral, Negative)
- Web App: Django 5 with categorized topic filtering (Tech, Business, Sports, Politics)
What's Included in the Package:
- Complete Python & Django Web Application Source Code
- Pre-trained T5 Transformer Summarization Scripts
- News API Ingestion Pipeline & Sentiment Classifiers
- Comprehensive IEEE Project Report (Word DOC & PDF)
- Defense Presentation Slides (PPTX)
- Video Setup Guide
Software Setup & Deployment Guide:
Download and extract the complete source code package, database schema, and architecture documentation provided with your order.
Open the project directory in VS Code or your preferred IDE and install the required runtime libraries and packages listed in the setup guide.
Set up your environment configuration variables and run the included database migrations or seed scripts.
Start the local development server or build executable and test all user, admin, and core functional workflows.
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