• Hussain Quraishi
• Mohammed Zaid
• S. Dinesh Choudhary
• Mohammed Imran

Individuals in present era cannot focus on one‘s wellbeing because of busy schedules. As a result, a meal plan should be suggested to manage the health. We need to eat well in order to grow. AI nutritionist is indeed a machine intellect health professional that supplies its users with an appropriate eating strategy depending on some evaluation parameters. This AI powered technology could really design a nutrition strategy focused on healthy and balanced diet. Vegetables, cereals, fruits, skim milk or minimal fat milk items, legumes, lean protein, chicken, as well as tuna are among the meals recommended by specialists. Nevertheless, because every user seems to have a distinctive eating intake & varying medical problems, a nutritionist generates an eating plan tailored to each individual. The web - based virtual nutritionist is a human diet-related ai - powered implementation. It functions as a nutrition advisor, much like an actual health professional. To get a nutrition plan, a participant must provide a few details such as their form of physique, BMI, tallness, and work schedules. The device captures all of this information from the subscriber and performs in order to deliver the nutrition strategy to the subscriber. Thereby, the subscriber is not required to consult a nutritionist that also allows for faster, as well as the subscriber can obtain the necessary nutrition plan with a single click.

AI technology, diet evaluation, intelligent health management, smart diet plan

"A NOVEL AI BASED SYSTEM TO PROVIDE DIET PLAN FOR OLDER HOSPITALIZED PATIENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.f824-f829, May-2022, Available :http://www.jetir.org/papers/JETIR2205695.pdf

"A NOVEL AI BASED SYSTEM TO PROVIDE DIET PLAN FOR OLDER HOSPITALIZED PATIENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppf824-f829, May-2022, Available at : http://www.jetir.org/papers/JETIR2205695.pdf