ProjectsFebruary 1, 2024

AI Text Summarization

Overview

AI Text Summarization is an abstractive summarization tool that condenses long articles, documents, and passages into concise summaries while preserving key meaning. Unlike extractive methods that copy sentences verbatim, the fine-tuned BART model generates new prose that captures the essence of the input text. The system is optimized for speed, delivering summaries in under three seconds even on longer inputs—making it practical for everyday reading workflows and content triage.

Tech Stack

The core model is a fine-tuned BART transformer loaded via HuggingFace Transformers, with GPU-accelerated inference for fast token generation. A FastAPI backend exposes a REST endpoint for text submission and summary retrieval, with async request handling for concurrent users. The React.js frontend provides a clean textarea interface with copy-to-clipboard and loading states.

Highlights

Fine-tuned BART for abstractive summarization that produces fluent, coherent output.
Achieved sub-3-second response times through GPU-optimized inference and batching.
Built a FastAPI service with async endpoints and structured error handling.
Delivered a React frontend for paste-and-summarize workflows with instant feedback.

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