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 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
Quick Build & Interfacing Guide:
Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.
Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.
Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.
Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.
Key Features
Specifications
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