Developed both the frontend and backend of an AI-powered text summarizer that helped users find key facts faster in various types of long documents, articles, and papers.

The model used Hugging Face Transformer models for extractive text summarization. It developed new sentences in a new form that built a whole distinct text that is shorter than the original.

The summarized text was evaluated using the Rouge Score. The model achieved a Rouge Score of up to 0.3 depending on the type of text.