This project demonstrates the effective integration of Natural Language Processing (NLP) techniques with modern web development technologies to build a practical and intelligent text summarization system. By combining Python-based NLP processing with a Flask backend and a PostgreSQL database, the application transforms long textual content into concise and meaningful summaries. The project highlights the ability to apply core NLP concepts such as text preprocessing, tokenization, stopword removal, and sentence scoring, while also showcasing full-stack development skills through the design of a user-friendly web interface and backend logic. Furthermore, it demonstrates competence in database management for storing and retrieving processed data, as well as the development of real-world AI-driven applications that address practical problems such as information overload and time-efficient reading.