International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025
p-ISSN: 2395-0072
www.irjet.net
MOBILE AND CLOUD ENABLED EXPIRY ALERT SYSTEM TO ENHANCE FOOD SAFETY AND CUSTOMER TRUST Ramya. S 1, Antony Wilson. S2, Harikaran. V3, Kaviyarasu. R4 1Assistant Professor, Dept. of Cybersecurity, Paavai Engineering College 2Student, Dept. of Cybersecurity, Paavai Engineering College 3Student, Dept. of Cybersecurity, Paavai Engineering College 4Student, Dept. of Cybersecurity, Paavai Engineering College
---------------------------------------------------------------------***--------------------------------------------------------------------highly inefficient and prone to human error. Products with Abstract - The Mobile and Cloud-Based Expiry Alert unclear print quality, varied packaging formats, and fading labels further increase the chances of expired items reaching consumers, posing significant health risks and causing financial losses for businesses.
System aims at the automatic detection of expired and nearexpiry products by relying on barcode scanning, QR code analysis, and Optical Character Recognition (OCR). Traditional methods for inventory monitoring are mostly based on manual checks, time-consuming, prone to human error, and incapable of handling large-scale retail product data. The proposed system integrates a lightweight mobile application with cloud-enabled storage for real-time detection, tracking, and automatic alert generation of products near expiry or already expired. Users can scan product QR codes or barcodes through their applications, while OCR techniques extract expiry dates from product labels when encoded data is not available. The extracted dates will undergo processing for multiple date format identification using regular expressions, hence assuring high accuracy and reliability of the extracted information. With cloud integration, centralized storage will be enabled, allowing retailers to maintain updated inventories and receive automated notifications of items that have expired or are soon to expire. This reduces product wastage, avoids consumer health risks, and greatly improves retail efficiency. The architecture will work online and offline for supermarkets, pharmacies, and small retail stores. The experimental results showed that the model achieved faster processing time with improved accuracy and smooth inventory automation compared to manual inspection methods. This work presents an effective and scalable solution for managing expiration dates in modern retail environments.
To address these challenges, mobile-based and cloudintegrated expiry alert systems have emerged as a practical solution. These systems utilize barcode scanning, QR code recognition, and Optical Character Recognition (OCR) to automatically retrieve expiry information from product labels. Cloud integration enhances reliability by enabling centralized storage, multi-device access, and realtime synchronization of inventory data. The system not only monitors expiry dates but also triggers automated alerts for expired or near-expiry items, ensuring timely action by retailers. The proposed “Mobile and Cloud-Based Expiry Alert System” aims to eliminate manual dependency, reduce product wastage, and ensure consumer safety by providing a fast, accurate, and user-friendly expiry detection platform. By combining mobile scanning technology with cloud-hosted databases, the system offers scalability, improved performance, and seamless integration across different retail environments. The solution is particularly beneficial for small and mediumscale stores that lack advanced inventory management tools but require dependable expiry monitoring.
2. PRIMARY OBJECTIVES OF THE STUDY
Key Words: Expiry Alert System, Barcode Scanning, OCR, QR Code Detection, Cloud Storage, Retail Automation, Real-Time Monitoring, Product Validation
The Mobile and Cloud-Based Expiry Alert System is designed to address critical shortcomings in traditional inventory handling and expiration monitoring practices. The primary objectives of the study are outlined below, each representing a major research direction aimed at automating expiry detection, strengthening retail safety, and enhancing operational efficiency.
1.INTRODUCTION The increasing demand for automation in the retail and consumer goods sector has highlighted the need for an efficient and reliable system to detect expired and nearexpiry products. Retail stores, supermarkets, medical shops, and storage warehouses handle thousands of products daily, making manual verification of expiry dates
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• Objective 1: Full Automation of Expiry Detection Through Intelligent Data Extraction Automation forms the foundational pillar of the system architecture. The primary intent is to eliminate manual
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