AI-Powered Content Summarizer & Insight Extractor

AI-Powered Content Summarizer & Insight Extractor
This full-stack web application is designed to revolutionize how users interact with long-form text, from research papers to news articles. Leveraging advanced Natural Language Processing (NLP) techniques, the platform provides concise summaries and extracts critical insights, making information consumption faster and more efficient.

Key Features & Technologies:

Custom NLP Models: Engineered and deployed custom summarization models, including transformer architectures like T5/BART, to intelligently condense lengthy documents while preserving core meaning.

Entity Recognition (NER): Integrated Named Entity Recognition to automatically identify and highlight crucial entities such as persons, organizations, and key concepts within the text, providing immediate context and deeper understanding.

Intuitive User Interface: Developed a responsive and user-friendly frontend using React and TypeScript, ensuring a seamless experience for document uploads, text input, and the presentation of summarized outputs.

Robust Backend: Built a scalable and efficient backend using Node.js and Python, capable of handling large text inputs and processing complex NLP tasks to deliver results rapidly.

This project demonstrates my expertise in full-stack development, advanced NLP, and creating practical, AI-driven solutions that enhance productivity and information accessibility.