AI Use Case

Predict hazardous locations and establishments based on open source data

Location and establishments hazardous to consumers and individuals might include restaurants, illegal businesses, areas prone to crime and violence and others. Hazards may be medical, environmental, human-caused or other natural phenomena.





Risk reduction - Reduce environmental physical risk,Risk reduction - Predictive diagnosis,Risk reduction - Spot issue (eg copyright infringement)

Case Studies

Harvard University~Researchers detect restaurants with elevated risk of foodborne illness in real time using machine learning,Berkeley Lab~Berkeley Lab to use deep learning to analyse alternate data sources for more accurate predictions of air quality,University of Rochester~University of Rochester researchers have developed an app that monitors social media to identify health risks posed by restaurants using natural language processing and machine learning


Public And Social Sector

Public Services

Data Sets

Text,Images,Audio,Video,Structured / Semi-structured,Time series

AI Technologies

Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Data Translation/Transformation,Product - Data Capture - Mobile,Product - Data Capture - Camera

Potential Vendors