Document Processing and Summarisation

Document Processing & Summarisation: AI-Powered Efficiency

Challenge:
Professionals across industries often struggle with handling and summarising lengthy PDF documents, leading to inefficiencies and lost time. Manually reviewing large volumes of text is time-consuming and prone to oversight, making it difficult to extract key insights quickly.

Solution:
We implemented an AI-powered document summarisation tool using a Hugging Face model. This solution automatically analysed lengthy documents, extracting essential information and generating concise summaries. The model leveraged natural language processing (NLP) techniques to understand context, identify key points, and provide structured summaries, significantly reducing the time spent on manual review.

Results:
- 50% Increase in Document Review Efficiency – Professionals could process large documents in half the time, improving productivity.
- Automated Key Insight Extraction – Ensured that crucial information was highlighted without missing important details.
- Seamless Integration – The tool was designed to work with various document formats, making it highly adaptable for different industries.

This project demonstrated the power of AI in automating document processing, streamlining workflows, and enabling professionals to focus on higher-value tasks.

🔗 [GitHub Repository](https://github.com/MSenhoury/document-processing-summarization)