MetaSano is a mobile application dedicated to assisting users with chronic kidney disease in monitoring their condition and making lifestyle changes to prevent the need for hemodialysis.

The main goal for the project is to analyze and improve the prompts used in the computer vision system to analyze meal logging and urine foam for individuals with kidney disease. This will involve several different steps for the learners, including:

- Understanding the current prompts and their effectiveness in analyzing meal logging and urine foam.

- Identifying areas for improvement in the prompts to enhance the accuracy and efficiency of the analysis.

- Researching best practices in computer vision for healthcare applications.

- Collaborating with the MetaSano team to implement and test the improved prompts.

By the end of the project, learners should complete the following tasks:

- Analysis of the current prompts and their effectiveness.

- Recommendations for improvement in the prompts based on the analysis.

- Implementation of the improved prompts in the computer vision system.

- Testing and validation of the improved prompts with the MetaSano team.

Final deliverables should include:

- A report detailing the analysis of the current prompts and the proposed improvements.

- Documentation of the implementation process and testing results.

We will furnish the requisite information and designate a dedicated individual to interact directly with the students, ensuring effective communication and support.