Project Info

• Languages: Python, HTML, CSS, JavaScript
• Platform: Heroku
• Completed: Jan 2021

Developed a full-stack AI-powered text summarizer that enables users to quickly capture key insights from lengthy documents, articles, and research papers. Built with Hugging Face Transformer models, it condenses complex text into distinct, concise summaries while preserving essential information. The system achieved a Rouge Score of up to 0.3, ensuring effective and reliable summarization tailored to various content types.