The Problem: Taking notes and managing knowledge is easy; making connections between those notes is hard. Traditional knowledge management systems are static and don't understand context. The Solution (Calyx): Calyx is an Augmented Intelligence System designed to learn from your notes and reveal hidden, semantic connections between ideas. It turns raw text into a dynamic, interconnected knowledge base. Tech Stack & Features: Core Tech: Python and Streamlit. AI Engine: Leverages advanced NLP, specifically TF-IDF (Term Frequency-Inverse Document Frequency) and semantic analysis, to understand the meaning of the content, not just the keywords. Goal: To build a 'second brain' that genuinely understands context and helps with knowledge synthesis. My Takeaway: Implementing TF-IDF and semantic analysis was a huge challenge. It showed me the power of NLP to automate complex cognitive tasks. Live Demo: https://calyxbhavi.streamlit.app/ GitHub: github.com/shalinibhavi525-su