The Vision: Intelligent Note-Taking

Leveraging the power of Natural Language Processing, this full-stack application redefines the modern note-taking experience. It moves beyond simple storage to create an intelligent system where users can manage notes enriched with advanced AI capabilities, enhancing both productivity and the efficiency of information retrieval.

Architecture & Tech Stack

• Backend: Python (Flask)
• Database: PostgreSQL
• Frontend: HTML, CSS, JavaScript
• AI / NLP: Hugging Face Transformers

Core AI Functionality

The application's core is its advanced NLP engine, built with Hugging Face Transformers. An embedding pipeline processes user input to enable powerful features like automatic summarization and semantic search. This allows users to instantly extract key insights from long texts or retrieve contextually relevant notes using simple, natural language queries, transforming a static archive of notes into a dynamic and searchable knowledge base.