Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 4 (2025): Volume 9, Issue 4, April 2025 | Pages: 307-312
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 02-05-2025
With the increasing reliance on mobile devices for file storage and data exchange, the risk of malware infiltration and data breaches has significantly grown. This paper presents Bitebuddy: Food Ordering Chatbot, a web based chatbot designed to streamline the food ordering process by offering real-time, conversational support to customers. The web application is developed using Rasa framework along with MySQL for database and JavaScript for frontend development. The primary feature of Bitebuddy is its interaction with the customer and the responses of chatbot given to the customer’s queries and its assistance to customer. The application enables users to browse menus, receive personalized recommendations, place orders, and track order status, all through simple natural language interactions.
Conversational AI, Food Ordering Chatbot, Rasa Framework, Natural Language Processing, MySQL, React.js, Web Application, Real-time Interaction
Anushree Deshmukh, Atharva Ilke, Divyansh Doshi, Srushti Padave, & Sanjana Yadav. (2025). Bitebuddy: Food Ordering Chatbot. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(4), 307-312. Article DOI https://doi.org/10.47001/IRJIET/2025.904043
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