{"id":13074,"name":"UAP Anomaly Detection System","purpose":"A machine learning-powered system that analyzes satellite imagery, radar data, and public sightings reports to identify and classify UAPs. It prioritizes anomalies for further investigation and utilizes historical data to improve detection accuracy.","profitable":1,"date_generated":"Friday May 2026 22:51","reference":"uap-anomaly-detection","technology_advise":["Python","PostgreSQL","Difficult","Easy"],"development_time_estimation_mvp_in_hours":250,"grade":8.2,"category":"security","view_count":31,"similar_ideas":[],"source_headline":"Pentagon releases new trove of declassified UFO files."}