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@article{179688,
author = {Sanjay D and Prakashraj S and Prem Kumar U and YasarA},
title = {NutriBot AI-Enhanced Food Delivery with Personalized Health Recommendation},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {8824-8830},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=179688},
abstract = {The increasing demand for online meal delivery services necessitates innovative strategies that improve consumer satisfaction and experience quality. Through a personalized customization approach, the AI-driven system presented in this research aims to revolutionize the online meal delivery experi- ence. In order to classify users and find their distinct tastes and habits, this uses user profiling to gather behavioral data, order history, and personal information. Here, food recommendations are highly customized through the use of sophisticated machine learning models with collaborative, content-based, and hybrid filters. When combined with natural language processing (NLP), dynamic menu customization, and efficient customer service, real- time data analysis guarantees quick and relevant recommen- dation delivery. It is designed based on the actual preferences of each user and adapts to changing user behaviors, making the ordering process more enjoyable and seamless in a way and setting a new standard in the industry. In addition to increasing user engagement and satisfaction, this personalized process also serves to drive higher customer loyalty and overall better efficiency levels in the realm of an online food-delivery arena. It keeps user privacy and safety while handling data to a great concern. To that end, it adheres to global standards and protects user information by using better encryption methods.},
keywords = {Dynamic Menu Customization, Online Food Delivery, Real-Time Data Analytics, Personalized Recommenda- tions.},
month = {May},
}
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