I have a Flask-based web application that I need help optimizing. The main functionality allows users to add new foods, and via the ChatGPT API, the micro and macro nutrients are extracted and stored in a MySQL database. Afterward, the application generates diagrams based on this data.

However, there are a few areas that need improvement:

Design: The current design, built with Bootstrap, is quite basic and could use a more polished, modern look. I would like to enhance the overall UI/UX, including adding a sidebar on the dashboard page that displays diagrams for all vitamins and minerals.

Data Accuracy: The nutritional data pulled from the ChatGPT API is sometimes inaccurate. I would like to implement an algorithm that checks the data accuracy by making two API calls, comparing the results, and taking the average if they are similar. If the results differ significantly, a third API call should be made before determining the final data.

Bug Fixes and UX Improvements: There are a few bugs and user experience issues that need to be addressed to ensure smooth and efficient use of the application.

Please let me know if you have experience with these tasks and how you would approach this project. I’m looking forward to your feedback and a possible collaboration. This is the website: https://nutrifitai.pythonanywhere.com/landingpage

Best regards, Salim Doumbia