{"id":10290,"name":"XAI Interpretability Dashboard","purpose":"A web application for visualizing and understanding the decision-making processes of unsupervised anomaly detection models, particularly on anonymized datasets like credit card fraud. Focuses on implementing SHAP values for XAI insights, designed for thesis and research projects.","profitable":0,"date_generated":"Sunday March 2026 21:38","reference":"xai-interpretability-dashboard","technology_advise":["Python","NodeJS","Medium"],"development_time_estimation_mvp_in_hours":200,"grade":7.0,"category":"ai","view_count":12,"similar_ideas":[{"id":2493,"name":"XAI Trust Navigator","grade":7.8,"category":null},{"id":3895,"name":"Ethical AI Dashboard","grade":8.2,"category":null},{"id":2320,"name":"XAI Literature Navigator","grade":6.8,"category":null},{"id":10173,"name":"XAI Morale Monitor","grade":6.5,"category":"devtools"},{"id":8809,"name":"Shadow AI Governance Dashboard","grade":8.2,"category":"security"}],"source_headline":"Using SHAP to explain Unsupervised Anomaly Detection"}