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Project # 112
Personalized Nutrition Planner
| Team Lead: | Cesar Godinez |
| Other Team Members: | Roxie Barnett | Sallah Al-Ali | Johan Alvarez Ayala | Juan Hernandez | Christopher Ho |
| Faculty Advisor(s): | Chenxi Wang, Steven Mcdermott |
| Department: | CSE |
| Project Type: | Senior Design |
| Title: | Personalized Nutrition Planner |
| Abstract: | The Personalized Nutrition Planner is a mobile Android application that utilizes concepts such as Machine Learning and Computer Vision to recommend 7-day meal plans based on the user's biological metrics, items scanned by the user that are in their real life pantry, and the user's personal preference whilst taking into account the user's goal and any potential allergies. Our application, titled FitBite, aims to use these key concepts to allow the user to easily utilize these features without having to excessively manually input features relating to a food item one-by-one. The user can scan barcodes or food items directly with their phone's camera, easily keep track of their goals and current meal plan, and have access to a user-friendly interface with notifications to help them keep track of their goals. The user's personal information relating to their biological data and allergies are safely secured on a reliable external database and solely used for the user's convenience within the application. |
| Poster: | View Poster #112 (PDF) |
| Judges Scoring: | Submit Evaluation (judges only) |