Could this approach work better than apps like Yuka?

I’m trying to understand whether this new app created for a study in nutrition solves some of the problems people often mention with apps like Yuka and Olive:

• These apps sometimes penalize products heavily because of certain additives, even when the actual dose in the product may be very small.
• They may also treat some additives as “risky” based on animal studies that are not related to humans.
• They judge products in isolation. A chocolate bar may get a very poor score, but if someone’s overall diet is balanced, a small treat may be ok.
• These apps aren’t personalized, and may not account for different needs, activity levels, medical conditions, or dietary goals.

This new app can scan receipts and look at purchases over time. In theory, that could help users reflect on their overall shopping pattern: how much protein, vegetables, carbs, snacks, or ultra-processed food they bought across a week. If shopping pattern isn’t healthy, the app could suggest some healthier options.

https://dl.acm.org/doi/epdf/10.1145/2494091.2496012

Could this approach avoid some of these mentioned problems or would it still risk oversimplifying nutrition?