Nutrition Recommendation System
Designed and Implemented a centralized nutrition recommendation system to manage nutritional data based on diagnosis codes. The admin user maintains a list of food types by diagnosis. The doctors can login and get recommended food types from the system. Patient’s can also sign up and access the nutrition database.
Implemented a rich user interface with HTML5 drag drop API. Interfaced with remote proprietary systems to look up nutritional information over RESTful APIs.
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