International Research Journal of Education and Technology

Online systems for ordering food have easily come a crucial part of current food services, especially in numerous different seminaries. Still, it's hard to epitomize because students and staffs have different choices and requirements for customization. This paper uses Python to put forward a specific revolutionary system for perfecting web- grounded food orders in a university cafeteria. The system uses AI to suggest numerous acclimatized food choices according to what students and staffs like and lets students and staffs change their refection’s, see multiple fashions, and decide wisely. The system intends to increase productivity, snacks happiness, along with involvement. It’ll negotiate this by creating a simple and snacks-focused experience. The proposed system was estimated through a single prototype, thereby showing its especially particular effectiveness in streamlining the ordering process as well as in satisfying definite snacks prospects.

Keywords — AI, Food Customization, Online Ordering, Python, snacks Experience