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Artificial Intelligence · Mini Project
Article Title Generator
Writes a headline from the body text of an article
1-2 weeks build
Overview
Fine-tunes a small T5 model to turn article text into a headline, using a public news dataset that pairs bodies with their original titles. Several candidate titles are generated per article with beam search, and a keyword-based baseline is included so you can show how much the fine-tuned model improves on simply picking important words.
What makes it stand up
- 01T5-small fine-tuning that runs on a free Colab GPU
- 02Multiple candidate titles per article via beam search
- 03Keyword-extraction baseline for comparison
- 04ROUGE scores and a side-by-side sample table in the report
- 05Streamlit app for pasted articles
Module breakdown
- 01
Data
Article and headline pairs, cleaned and length-capped.
- 02
Fine-tuning
Text-to-text training with a task prefix.
- 03
Generation
Beam search returning ranked candidate titles.
- 04
Evaluation
ROUGE against real headlines plus a manual review.
- 05
App
Paste an article and pick from generated titles.
After this, you will be able to
- Explain the text-to-text framing behind T5
- Compare your model fairly against the keyword baseline
- Demo titles for an article chosen on the day
Technology stack
- Python
- PyTorch
- Transformers
- Hugging Face
- Streamlit
- Level
- Mini Project
- Domain
- Artificial Intelligence
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support