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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63484

Smart Serve the New Era in the Food Waste Reduction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63484

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63484

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Prakruthi J

Prakruthi J

Electronics and communication engineering

Sri Siddartha Institute of Technology

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Gayathri M S

Gayathri M S

Electronics and communication engineering

Sri Siddartha Institute of Technology

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Poojitha M

Poojitha M

Electronics and communication engineering

Sri Siddartha Institute of Technology

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Bhavana C N

Bhavana C N

Electronics and communication engineering

Sri Siddartha Institute of Technology

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Mentors

Dr TD Sunil

Dr TD Sunil

Electronics and communication engineering

Sri Siddartha Institute of Technology

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Abstract

Food waste is one of the major challenges faced by the food service industry, leading to financial loss, environmental impact, and inefficient use of resources. Restaurants, hotels, and catering services often experience waste due to excess preparation, poor stock monitoring, and inaccurate prediction of customer demand. To overcome these issues, this paper introduces Smart Serve, an advanced system developed to reduce food waste through intelligent monitoring and management. The proposed model uses real-time data collection, inventory tracking, and predictive analysis to estimate food requirements and identify surplus items. By integrating machine learning techniques and smart sensors, the system improves decision-making in food preparation and storage processes. In addition, Smart Serve enables the redistribution of safe surplus food to charities and food donation centers through automated alerts and notifications. The implementation of the system helps minimize wastage, reduce operational expenses, and improve overall efficiency in food service management. Results demonstrate that Smart Serve can support sustainable practices and modernize conventional waste management methods. The proposed solution provides a reliable and scalable approach for building smarter and more eco-friendly food service operations. Food waste has become a serious issue in today’s world, affecting the economy, environment, and efficient use of available resources. Large amounts of food are wasted every day in restaurants, hotels, cafeterias, and catering services due to overproduction, poor inventory management, and incorrect estimation of customer demand. Reducing this waste is essential for building a more sustainable and responsible food service system. To address this challenge, this paper presents Smart Serve, an innovative solution designed to minimize food wastage through smart monitoring and efficient management techniques.

KEYWORDS

Keywords—Food Waste Smart Serve Inventory Tracking Predictive Analysis Machine Learning Smart Sensors Waste Management Sustainable Food Service

Cite This Article

Prakruthi J, Gayathri M S, Poojitha M, Bhavana C N, Dr TD Sunil, "Smart Serve the New Era in the Food Waste Reduction," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM63484

Full Article/Conclusion

The results of the Smart Serve system show the successful implementation of all key functionalities, including secure user authentication, food donation management, request processing, and delivery coordination. The platform provides smooth interaction between Donors, NGOs, and Delivery Personnel through an easy-to- use interface. Real-time status updates and notifications enhance transparency, communication, and coordination among users. Overall, the system reduces manual effort and supports efficient food redistribution.

References

[1]  R. Mehta, A. Kulkarni and S. Rao, “A Web-Based Food Surplus Redistribution Platform Using Django Framework,” in 2023 IEEE International Conference on Computing, Communication and Sustainable Technologies (ICCCST), 2023, pp. 98–104, doi: 10.1109/ICCCST2023.00021. [2]  L. Fernandes and J. Mathew, “SmartServe: A Software-Driven Approach for Efficient Food Waste Reduction and Redistribution,” in 2024 IEEE International Conference on Advances in Computing and Intelligent Engineering (ICAIE), 2024, pp. 251–258, doi: 10.1109/ICAIE2024.00412. [3]  A. R. Patel and M. B. Shah, “Design and Deployment of a Digital Food Donation Management System Using MVC Architecture,” in 2023 IEEE International Conference on Software Engineering and Technology (ICSET), 2023, pp. 72–78, doi: 10.1109/ICSET2023.00044. [4]  P. Das and R. Suresh, “A Secure Online Portal for Food Waste Reduction Using Role-Based Authentication,” in 2024 IEEE International Conference on Smart Sustainable Solutions (IC3S), 2024, pp. 189–196, doi: 10.1109/IC3S2024.00319. [5]  K. Narayanan and H. Joseph, “Smart Food Redistribution System With Real-Time Status Tracking Using Web Technologies,” in 2024 IEEE International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2024, pp. 335–341, doi: 10.1109/ICCIKE2024.00652. [6]  M. A. Siddiqui and N. R. Bhat, “A Django-Based Donation and Delivery Logistics Platform for Urban Food Waste Minimization,” in 2025 IEEE Conference on Emerging Digital Technologies (EDT), 2025, pp. 144–150, doi: 10.1109/EDT2025.00117. [7]  S. R. Prakash, T. Devi and P. Lakshmi, “Food Waste Reduction Through Data-Driven Surplus Allocation: A Web Application Approach,” in 2023 IEEE International Conference on Innovative Computing and Communication (ICICC), 2023, pp. 410–417, doi: 10.1109/ICICC2023.00209. [8] U. Ahmed and K. Fathima, “A Full-Stack Web Application for Food Donation, Volunteer Assignment, and Delivery Tracking,” in 2024 IEEE International Conference on Information Systems and Software Technologies (ISST), 2024, pp. 121–128, doi: 10.1109/ISST2024.00372. [9]   N. R. Yadav and V. R. Patil, “A Sustainable Food Waste zanagement System Leveraging REST APIs and Role-Based Workflows,” in 2024 IEEE International Conference on Computing Applications for Sustainable Systems (CASS), 2024, pp. 201–208, doi: 10.1109/CASS2024.00551. [10]    G. Thomas, S. Dias and A. Loyola, “SmartServe Platform: Software Architecture for Donor–NGO Coordination in Food Redistribution,” in 2025 IEEE International Conference on Humanitarian Technologies (ICHT), 2025, pp. 66–72, doi: 10.1109/ICHT2025.00231.

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Publication Date

5/19/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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