Built an AI tool that cleans datasets, fills missing values, and predicts unknown fields [P]

I built a Streamlit-based AI data analysis tool that: • Fills missing values using ML models (not just mean/median) • Predicts any missing column using n-1 inputs • Detects anomalies • Shows correlations and feature importance • Lets you download the updated dataset (Attached images show the UI and before vs after CSV file) I wanted to test how well it works on real-world incomplete datasets. Would love feedback on: - model approach - accuracy issues - any improvements I should make Kindly share your issues on GitHub! GitHub: submitted by /u/walker98417 [link] [comments.