DataQuality&Anomaly Detection Agent

This AI agent helps data scientists and analysts assess and prepare datasets efficiently. It automatically profiles data, detects missing values, identifies anomalies (unsupervised or supervised), and evaluates dataset readiness for modeling. Whether you're working with classification or regression tasks, the agent delivers detailed metrics including confusion matrices, residual plots, and performance scores. Built with Python, Pandas, Scikit-learn, and Streamlit, it provides an interactive UI for instant data quality insights and decision-making.