Spectral: A Solution for Food Contamination

Have you ever wondered if your food was contaminated but didn't know how? Introducing Spectral, which uses block chain technology and machine learning to detect it using just your phone camera!

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Inspiration

Bernice Lien's article on the issue of food contamination and the use of the hyperspectral camera for detection. https://medium.com/swlh/using-ai-for-food-contamination-c2e5b47f59e3

What it does

Uses blockchain and Radio-frequency Identification to help with supply management. Data at each node on the Blockchain is used to trace back any contaminated foods. Radio-frequency identification is used to identify groups of foods faster. Has an app that allows taking a photo of food and the app mimics the function of a hyperspectral camera to analyze the content of the food.

How we built it

Code built using Tensor Flow and application built using Figma.

Challenges we ran into

Finding useful and relevant datasets on hyperspectral images.

Accomplishments that we're proud of

A unique and creative solution to a relevant, common problem using various technologies We are proud of the design of the application and its functionality

What we learned

-Machine Learning using Generative Adversarial Networks (GAN) -Radio-frequency Identification (RFID) technology -Built a phone app on Figma

What's next for Spectral: A Solution for Food Contamination

Finding useful and relevant datasets to implement our idea and solutions. Create the backend of the app

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