Ghost in the Dataset | AI-Powered Data Analysis with Gemma 2B

说明与用途

Ghost in the Dataset 是一个基于 Streamlit 的应用，利用 Gemma 2B 和 Isolation Forest 自动检测 CSV 数据中的异常并生成解释。

问题

Users need an interactive way to uncover hidden patterns and anomalies in CSV datasets without complex tooling.

结果

The application demonstrates that an open‑weight AI model can be integrated locally to provide automated, interactive data investigation, reducing manual effort and making anomaly detection accessible to beginners.

工作流

• Upload CSV file via Streamlit interface
• Display dataset overview and preview
• Run missing‑value analysis with Pandas
• Apply Isolation Forest (scikit‑learn) to detect anomalies
• Visualize numerical columns with Matplotlib
• Send dataset summary and anomalous records to Gemma 2B via Ollama
• Generate AI explanations and next‑step suggestions
• Allow download of investigation report

证据

Ghost in the Dataset is an AI-powered CSV data analysis application that helps users discover hidden patterns and unusual records in their datasets.

来源

Users can upload CSV files and explore: Dataset overview and preview, Missing value analysis, Anomaly detection using Isolation Forest, Numerical data visualization, AI-generated investigation explanations using Gemma 2B, Downloadable investigation reports

来源