AI-Driven Ingredient Recognition & Measurement for Meal Planning

MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute to reducing food waste, streamlining kitchen management, and supporting healthier eating habits. This innovation will strengthen MealLens’ position in the food-tech industry and enhance its commercial potential.

Faculty Supervisor:

Shahpour Alirezaee

Student:

Partner:

MealLens Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Business Strategy Internship

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