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AI can Track Unsafe Food by Surveying Customer Reviews




The researchers from Boston University developed a new AI, called BERT, that detects unsafe food. This AI uses Amazon customer reviews to tell which food is safe and which isn’t. Its accuracy is about 74% which isn’t too bad to begin with.

It detects any food that’s contaminated with chemicals, toxins, pathogens. After eating unsafe food, many of the people become ill, this AI prevents that from happening. Taking into consideration the global health program, the researchers arrived at this AI Program that uses world’s largest online retailer to help detect unsafe food items.

It follows an elaborate process. The developers of the AI linked the food reviews with the AI BERT(Bidirectional Encode Representation from Transformations). The 1,297,156 reviews from linked with the food products made it easy for the users.

Dr. Elaine Nsoesie, the assistant professor of global health at BUSPH informed that- “Health departments in the US are already using data from twitter, yelp and Google for monitoring foodborne diseases.”

The unsafe food products are a global food threat. And BERT is an intelligent way to deal with it. The WHO reports that about 600 million people suffered from illness because of contaminated food. BERT helps to track the unsafe food products and help generate food recalls.

Now the developers want to take the AI up a notch by adding not just reviews from Amazon, but product reviews from other websites and social media as well, like Twitter, Facebook. This way any product labelled foul or rotten , or anything bad gets the unsafe tag.

It isn’t the first time researchers used social media platforms for reviews. Many health organisations monitor food products by referring to the social media as well. Surveillance of food products is important and BERT is in the game to do play its role. The researchers said that BERT will stop any foodborne disease outbreaks and prevent illness and deaths.

From television to the internet platform, Jonathan switched his journey in digital media with Bigtime Daily. He served as a journalist for popular news channels and currently contributes his experience for Bigtime Daily by writing about the tech domain.

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