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This project will pilot test a new app for self-monitoring food intake using natural spoken language (by voice recognition or text) to provide daily estimates of energy and nutrient intakes with a phone app.
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Self-recording food intake is recommended for weight management and healthy eating. However, current methods, including web platforms and apps, are often burdensome leading to short-term use by the consumer. The solution uses cutting-edge speech and language understanding technology to streamline the food logging process. With this technology, the user simply describes what they ate and the system automatically selects the appropriate items and quantities consumed from the USDA food database, which calculates the nutrition profile of the entry.
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Data sourced from clinicaltrials.gov
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