UAP Anomaly Detection System
8.2
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.
250h
mvp estimate
8.2
viability grade
11
views
technology stack
Python
PostgreSQL
Difficult
Easy
inspired by
Pentagon releases new trove of declassified UFO files.