Smart AI Food Detector: Integrating AI, Sustainability Approach to Health-Conscious Food Management
This study shows how AI, sustainability and health-conscious food management can come together to address the global challenge of food waste while providing innovative solutions for healthier and more sustainable management of food at home. The world consumes a large amount of food every year, but a significant portion is wasted, putting pressure on the environment. This problem is serious, yet many people struggle to use the ingredients they have before they spoil. This research paper introduces a web-based application called the Smart AI Food Detector, which allows users to receive personalized recipes based in the ingredients available. By using artificial intelligence, this system ensures that food is used to its fullest potential, promotes responsible consumption and encourages healthy choices. The application not only provides recipes but also offers health insights, informing users whether the meals are suitable for specific health conditions, such as diabetes, hypertension and heart disease. It tailor's recipe suggestions according to user preferences, ingredient availability, nutritional needs and dietary restrictions, thus reducing food waste while promoting healthy eating habits. This research highlights the integration of current approaches to food and health management: AI, sustainability and healthy eating, and how these can be utilized to tackle the problem of food waste without compromising the quality of food and lifestyles.
Authors
- Shailendra Sharma (ORCID: https://orcid.org/0000-0003-4988-2342)
- Puneet Thapar (ORCID: https://orcid.org/0000-0002-7951-6899)
- Richa Bharti (ORCID: https://orcid.org/0000-0001-8271-1268)
- Ishwar D. Aggarwal
- Jigisha Sharma
- N. AMAR
- Arpita Sapehia
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/netcrypt65877.2025.11102189
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00