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International Journal of Science, Strategic Management and Technology

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SMART FOOD WASTE RESCUE HUB APPLICATION: IOT-ENABLED PLATFORM FOR SURPLUS FOOD REDISTRIBUTION

AUTHORS:
S.T. Devika
Syed Salman V
Sathak Irfan A J
Sujan Balan S
Sheik ibrahim huthaiffa
Mentor
Dr.B.Aysha Banu
Affiliation
Department of Information Technology, Mohamed Sathak Engineering College, Kilakarai, Tamil Nadu, India
DOI: 10.55041/ijsmt.v2i5.132
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Food waste is a critical global challenge with profound environmental, economic, and social implications. Over 1.3 billion tons of edible food are discarded annually by restaurants, grocery stores, hostels, and households, while concurrently 828 million people face chronic food insecurity. This paper presents the Smart Food Waste Rescue Hub Application — a comprehensive digital platform designed to mitigate food waste by facilitating efficient redistribution of surplus food from donors to Non-Governmental Organizations (NGOs), shelters, and beneficiaries. The proposed system leverages modern web technologies integrated with Internet of Things (IoT) sensors to ensure transparency, traceability, and food safety throughout the entire donation lifecycle. The application is developed using Next.js 14 and Tailwind CSS for a responsive and accessible frontend, with Firebase serving as the scalable backend infrastructure handling authentication, real-time Firestore database management, and cloud storage. A critical innovation is the integration of an ESP32 microcontroller equipped with DHT22 temperature/humidity sensors and MQ-series gas sensors, which continuously monitor environmental conditions during food storage and transit, automatically triggering alerts to stakeholders when predefined safety thresholds are breached. A 3-month pilot deployment across 15 restaurants and 8 NGOs in Coimbatore rescued 847 kg of food, saved 2.19 tons of CO₂ equivalent, achieved 96.8% alert accuracy, and reduced average pickup time by 42%. The platform presents a sustainable, scalable blueprint for bridging food surplus and scarcity while promoting environmental sustainability.

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 05
Review Rounds:
2
Article Type:
Research Article
Publication Date:
May 09 2026
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Devika, S., V, S. S., J, S. I. A., S, S. B. & huthaiffa, S. I. (2026). Smart Food Waste Rescue Hub Application: IOT-Enabled Platform for Surplus Food Redistribution. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.132

Devika, S.T., et al.. "Smart Food Waste Rescue Hub Application: IOT-Enabled Platform for Surplus Food Redistribution." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.132.

Devika, S.T.,Syed V,Sathak J,Sujan S, and Sheik huthaiffa. "Smart Food Waste Rescue Hub Application: IOT-Enabled Platform for Surplus Food Redistribution." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.132.

References
[1] FAO, "Food Loss and Waste Database," Food and Agriculture Organization of the United Nations, Rome, 2024. [Online]. Available: https://www.fao.org/food-loss-and-food-waste/en/

[2] K. Rathore et al., "Waste Wisely: IoT-Powered Smart Bins for Urban Food Waste Reduction," IEEE Transactions on Sustainable Computing, vol. 10, no. 2, pp. 45–58, 2025.

[3] A. Nurhakim, "ESP32-Firebase Real-Time Dashboard for Environmental Monitoring," GitHub Repository, 2024. [Online]. Available: https://github.com/abdurrahmannurhakim/esp32-firebase-dashboard-monitoring/

[4] S. M. Patel and R. Sharma, "AI-Based Smart Food Surplus Management Using Predictive Analytics," International Journal of Engineering and Data Research, vol. 25, no. 4, pp. 782–793, 2025.

[5] M. Khan, A. Bilal, and F. Hassan, "IoT-Based Agro-Food Waste Management Using Machine Learning," Scientific Research Publishing, Open Journal of Applied Sciences, vol. 15, pp. 112–128, 2025.

[6] Next.js Team, "Next.js 14 Documentation — App Router and Server Components," Vercel Inc., 2026. [Online]. Available: https://nextjs.org/docs

[7] Google Firebase Team, "Firebase Firestore Developer Guide," Google Cloud Platform, 2026. [Online]. Available: https://firebase.google.com/docs/firestore

[8] Espressif Systems, "ESP32 Technical Reference Manual v5.2," Espressif Systems, Shanghai, 2025. [Online]. Available: https://docs.espressif.com/projects/esp-idf/en/latest/

[9] Aosong Electronics, "DHT22 / AM2302 Digital Temperature and Humidity Sensor — Datasheet," Aosong Electronics Co., Ltd., Guangzhou, 2024.

[10] Hanwei Electronics, "MQ-135 Air Quality Sensor — Specification and Application Manual," Hanwei Electronics Group, 2024.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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