First and foremost, algorithms would need advice from nutritionists to develop tailored plans for individuals. Since dietary needs often differ from person to person, the algorithm would have to take into account the context of that person's life and their access to surrounding food and monetary means. After all, if all the best food for you is out of reach you cannot really expect someone to eat as they "should" to be healthy.

Basic best practices include as much fresh produce as is readily available, mostly "in season" where it applies, and tips to conserve food when needed. Structured testing could also include an opt-in for dna-testing against dietary restrictions and allergies (provided necessary privacy considerations are put in place and information is stored securely with differing levels of authentication for access). Medical records could also be included, again as an opt-in measure and again with necessary privacy considerations put in place.

An approach that centers the well-being of each individual on their own, with their own priorities put in place would be best. By priorities, I mean if someone does not like to eat a specific food or isn't interested, or cannot digest it for an "as-of-yet" unknown reason, then alternatives could be proposed in accordance to personal preferences, or outright removed if the individual should choose to.

It would need to be a continuous dialogue between the algorithm and the individual so that they could have access to what they need to be healthy while at the same time avoiding the issue of "moralizing" eating healthy or "guilting" a person into spending more than they can afford on food that may be beneficial but cuts into other parts of their life.
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