AI-Powered Utensils for Precision Nutrition Tracking

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Medical

Mindless eating poses significant risks to health equity. It exacerbates health disparities, particularly among low-income & communities of color, by contributing to poor dietary habits. Such habits result in higher obesity, chronic diseases such as diabetes & heart disease, & nutritional deficiencies.

Available technological solutions include smartphone apps and wearable solutions. However, these solutions have an inherent limitation that has a degree of separation from the actual eating behavior. Additionally, these solutions are prone to user bias and offer limited reactive guidance to modify existing eating behavior.

Spoonified is developing an AI-powered utensil that offers precision nutrition tracking while learning individuals' eating habits and patterns, and provides real-time interventional guidance (haptic feedback) when they eat too fast or too much.

The device has a dual-processor (ESP-32 and ATTiny) architecture and multiple sensors, including a camera that allows us to identify the food that is being consumed, track the user's hand movement in real time, and detect if the food is being consumed as a valid bite. We can measure the amount of food consumed in every bite, which we then utilize to precisely compute the nutrition consumed during a meal cycle. Additionally, the device also tracks additional parameters such as speed of eating, average bite size, meal size, and when it detects deviation from the normal patterns (i.e., when they eat mindlessly), it provides haptic feedback in real-time to alert the user. The product design allows the product to be used as a fork or a spoon. The electrical circuitry resides in the handle. The first generation of the product will be IP54, with future generations offering dishwasher-safe design. We have onboard memory that allows for the smartphone's free operation and stores data for up to four meals/day.

The device has a companion app that communicates with the utensil via Bluetooth. The app connects to our backend on AWS.

We are currently at the MVP stage. All prototypes until now have been fully designed and assembled in-house. The PCB was designed in-house, and we have used local manufacturing partners (in Plano, TX) for fabrication and front-end assembly. We are in discussion with an ODM in India (had to pivot from China due to current tariffs) for producing units for trials with a major healthcare institution in the US.

The product is intended for those suffering from a chronic condition that requires nutritional intervention. Our GTM strategy involves working with Chronic Condition Management & Weight Loss clinics to offer this device to their patient.

Our technology is patent-pending and does not require FDA approval.

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  • About the Entrant

  • Name:
    Vishal Modi
  • Type of entry:
    team
    Team members:
    • Benjamin Yeffeth
  • Software used for this entry:
    Yes, we have user various different software tools for electrical and mechanical design of the product.
  • Patent status:
    pending