Developer releases Streamlit-based AI tool that intelligently cleans datasets and predicts missing values using machine learning instead of basic statistical methods

Tool uses ML models to fill missing values rather than conventional mean/median approaches

Can predict any missing column using n-1 input features and detect anomalies in datasets

Provides correlation analysis, feature importance visualization, and downloadable cleaned datasets

Creator seeking community feedback on model approach, accuracy, and potential improvements via GitHub repository