
OnlineFood Delivery and Recommendation System using Python Django with Ml and AI – Volume 11 Issue 5

International Journal of Engineering and Techniques
ISSN 2395-1303
Volume 11, Issue 5 | Published: October 2025
Author
Shobha D Muragundi , Dayanand G Savakar , Padma Yadahall
Abstract
The Food Ordering System is a web-based application designed to streamline the process of ordering food online for both customers and restaurant administrators. The system leverages Python’s Flask framework for backend development, MySQL for data storage, and HTML, CSS, and JavaScript for frontend presentation. This project aims to address the limitations of traditional food ordering methods, which often involve manual order taking, delayed communication, and errors in order processing. By providing a digital platform, the system enhances operational efficiency, reduces human errors, and improves overall customer satisfaction.
Keywords
Recommendation System , Health-Conscious Food Suggestions, Real-Time Delivery Tracking, E-Commerce Platform ,Secure Payment Gateway.Conclusion
The Online Food Delivery and Recommendation System successfully demonstrated a secure, scalable, and user-friendly platform for digital food ordering. It streamlined essential processes such as registration, menu browsing, cart management, payments, and delivery tracking, while distinguishing itself with an integrated health recommendation module that suggested healthier meal options. Testing confirmed the system’s reliability, with only minor performance issues resolved through backend optimization. The use of Flask and MySQL ensured flexibility, modularity, and efficient data handling. Overall, the system combined convenience, personalization, and health awareness, making it a valuable contribution to the food-tech domain with scope for future enhancements.
References
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