Food Saver: A Sustainable Solution Redistributing Surplus Food

Abstract

The document proposes an AI-Based Intelligence Code Review System that automates software code analysis using AI, ML, and NLP to overcome limitations of traditional peer review and static analysis tools, which are slow, inconsistent, and dependent on reviewer expertise. It introduces a six-stage pipeline: preprocessing, tokenization, syntax analysis, semantic analysis, performance evaluation, and AI-based feedback generation. A key component, the Review Necessity Chain (RNC), filters trivial submissions to reduce unnecessary LLM usage, improving efficiency and achieving an 86% reduction in meaningless review calls. The system is built as a full-stack platform with: A React/Next.js frontend code editor Node.js and FastAPI backend AI engine using LLMs and ML models MongoDB/MySQL databases on AWS infrastructure Key modules include: AI code editor with real-time feedback AI mentorship assistant for learning support Performance analytics dashboard Structured learning paths and coding challenges Notifications and personalized career roadmap The methodology details how submitted code is cleaned, tokenized, checked for syntax and semantic errors, analyzed for performance and security issues, and then processed by an LLM for natural-language suggestions. Results are displayed to users and stored for tracking and personalization. Evaluation shows the system outperforms manual review, rule-based systems, and static tools, achieving about 94% accuracy. It also shows strong semantic alignment (~0.80 BERTScore) with expert feedback and improved error detection rates, especially in requirement violations and unnecessary code detection.

Introduction

The document presents Food Saver, a web-based platform designed to reduce food waste by connecting restaurants (donors) with NGOs (recipients) to efficiently redistribute surplus food to people in need.

Summary

Food waste is a major global problem with serious environmental and social impacts, while many people still face food insecurity. To address this gap, Food Saver provides a centralized digital system where restaurants can list surplus food in real time and NGOs can request and coordinate pickups.

The platform includes key features such as user authentication, role-based dashboards, real-time notifications, food tracking, feedback systems, and secure data handling. It uses a modern three-tier web architecture with a frontend (React/Angular), backend (Node.js/Firebase), and database (Firestore/MySQL), ensuring scalability and responsiveness.

The system workflow covers:

• Donor onboarding and verification
• Structured food listing (type, quantity, freshness, pickup time)
• Real-time NGO matching and prioritization
• Logistics coordination with volunteers and tracking
• Delivery confirmation and analytics storage

The literature review highlights that global food waste is massive and that existing platforms (e.g., Food Rescue US, OLIO, Karma) show the effectiveness of digital redistribution, though adoption depends on usability, trust, and logistics efficiency.

Evaluation results show that the platform improves coordination speed, NGO responsiveness, and donation transparency, while reducing food wastage and supporting environmental sustainability. It also enhances access to meals for underserved communities and promotes a circular economy model.

However, limitations include lack of advanced route optimization and predictive analytics, and the system was mainly tested in small-scale environments.

Conclusion

The Food Saver platform demonstrates a sustainable and scalableapproach totacklingthedualchallengesoffoodwaste and food insecurity. By creating a technology?driven bridge between hotels, restaurants, and NGOs, the system ensuresthat edible surplus food is efficientlyredistributed to people in need. The web-based architecture improves accessibility, enabling real-time coordination, transparency, and traceability across the donation supply chain. Integrating features such as surplus estimation, quality checks, user role management, and delivery tracking significantly reduces delays and operational inefficiencies. Ultimately, the solution not only promotes environmental sustainability by minimizing landfill waste and carbon emissions, but also supports social welfare by enhancing nutritional access for vulnerable communities.With increased adoption, Food Saver can contribute tobuildingacircular food ecosystem wheresurplusresources are redistributed responsibly rather than discarded. creating tamper-proof transaction records between donors and beneficiaries, whileIoT devicesmayhelpmonitorfoodquality and temperature during storage or transportation. Expanding the platform to include supermarkets, event venues, cloud kitchens, and corporate cafeterias could further increase its reach andimpact. Additionally, developingadedicatedmobile application with features such as GPS tracking, instant notifications, optimized delivery routing, and volunteer management would improve usability and responsiveness. Collaboration with government agencies, CSR programs, and humanitarian organizationscan alsosupportpolicyinnovation, funding opportunities, and structured scaling of redistribution networks. Ultimately, these advancements can transform Food Saver into a multidimensional ecosystem Ultimately, the solution not only promotes environmental sustainability by minimizing landfill waste and carbon emissions, but also supports social welfare by enhancing nutritional access for vulnerable communities The Food Saver initiative can be significantly enhanced in the future through the integration of advanced technologies and broader stakeholder collaboration. Machine learning and predictive analytics can be used to forecast surplus food availability, streamline procurement, and prevent last-minute wastage. Blockchain-based traceability could strengthen transparency by creating tamper-proof transaction records between donors and beneficiaries, while IoT devices may help monitor food quality and temperature during storage or transportation. Expandingthe platform toinclude supermarkets, event venues, cloud kitchens, and corporate cafeterias could further increaseitsreachandimpact. Additionally, developinga dedicated mobile application with features such as GPStracking, instant notifications, optimized delivery routing, and volunteer management would improve usability and responsiveness. Collaboration with government agencies, CSR programs, and humanitarian organizations can also support policy innovation, funding opportunities, and structured scaling of redistribution networks. Ultimately, these advancements can transform Food Saver into a multidimensional ecosystem

References

The Food Saver platform demonstrates a sustainable and scalableapproach totacklingthedualchallengesoffoodwaste and food insecurity. By creating a technology?driven bridge between hotels, restaurants, and NGOs, the system ensuresthat edible surplus food is efficientlyredistributed to people in need. The web-based architecture improves accessibility, enabling real-time coordination, transparency, and traceability across the donation supply chain. Integrating features such as surplus estimation, quality checks, user role management, and delivery tracking significantly reduces delays and operational inefficiencies. Ultimately, the solution not only promotes environmental sustainability by minimizing landfill waste and carbon emissions, but also supports social welfare by enhancing nutritional access for vulnerable communities.With increased adoption, Food Saver can contribute tobuildingacircular food ecosystem wheresurplusresources are redistributed responsibly rather than discarded. creating tamper-proof transaction records between donors and beneficiaries, whileIoT devicesmayhelpmonitorfoodquality and temperature during storage or transportation. Expanding the platform to include supermarkets, event venues, cloud kitchens, and corporate cafeterias could further increase its reach andimpact. Additionally, developingadedicatedmobile application with features such as GPS tracking, instant notifications, optimized delivery routing, and volunteer management would improve usability and responsiveness. Collaboration with government agencies, CSR programs, and humanitarian organizationscan alsosupportpolicyinnovation, funding opportunities, and structured scaling of redistribution networks. Ultimately, these advancements can transform Food Saver into a multidimensional ecosystem Ultimately, the solution not only promotes environmental sustainability by minimizing landfill waste and carbon emissions, but also supports social welfare by enhancing nutritional access for vulnerable communities The Food Saver initiative can be significantly enhanced in the future through the integration of advanced technologies and broader stakeholder collaboration. Machine learning and predictive analytics can be used to forecast surplus food availability, streamline procurement, and prevent last-minute wastage. Blockchain-based traceability could strengthen transparency by creating tamper-proof transaction records between donors and beneficiaries, while IoT devices may help monitor food quality and temperature during storage or transportation. Expandingthe platform toinclude supermarkets, event venues, cloud kitchens, and corporate cafeterias could further increaseitsreachandimpact. Additionally, developinga dedicated mobile application with features such as GPStracking, instant notifications, optimized delivery routing, and volunteer management would improve usability and responsiveness. Collaboration with government agencies, CSR programs, and humanitarian organizations can also support policy innovation, funding opportunities, and structured scaling of redistribution networks. Ultimately, these advancements can transform Food Saver into a multidimensional ecosystem

Copyright

Copyright © 2026 Keelu Satish, Bandi Rahul, Ronak Sai, Ms. J. Sirisha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.