AI Food Expiry Tracker and Smart Recipe Suggestion
Authors:
Sneha Chauhan (B.M. Institute of Engineering and Technology)
Karan Kumar (B. M. Institute of Engineering and Technology)
Gurminder Kaur (B. M. Institute of Engineering and Technology)
Abstract

The AI-Based Food Expiry Tracker and Smart Recipe Suggestion System is a web-based platform developed to intelligently monitor food items, predict expiry dates, and suggest suitable recipes based on available ingredients. The system operates through three major components user, business, and admin each offering specialized functionalities for food tracking, recipe generation, and system management. Food items can be added manually or through smart logging, and users receive timely notifications before items expire. The integrated AI module enhances usability by analyzing ingredient combinations and recommending region-specific Indian recipes to prevent wastage. For efficient and reliable performance, the system architecture incorporates technologies such as PHP, Laravel, HTML, CSS, JavaScript, MySQL, and Python for AI and machine learning integration. This project presents a scalable and sustainable model that addresses the growing issue of food wastage by promoting intelligent kitchen management and mindful consumption.

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Published in: NCAIDT 2025 Proceedings
DOI: 10.63169/NCAIDT2025.p5
Paper ID: NCAIDT2025-0485