International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | SmartCart.AI: An Intelligent, Adaptive Grocery Management Systemfor Enhanced Household Shopping Efficiency, Budget Control, and Food Waste Reduction |
|---|---|
| ABSTRACT | Grocery shopping is a universally practised yet persistently inefficient household activity. Despite the proliferation of mobile applications, most solutions remain limited to static list management, offering no intelligence, personalization, or adaptive support. This paper presents SmartCart.AI, a unified intelligent grocery management system designed to overcome the limitations of existing tools through the integration of Natural Language Processing (NLP)-powered voice input, machine learning-based recommendation engines, real-time budget tracking, nutritional guidance, shared list coordination, and behavioral consumption analytics. The proposed system introduces a multi-module architecture: a Smart List Engine, a Hybrid Recommendation Module using Apriori and collaborative filtering algorithms, a Voice-to-List NLP Interface, a Purchase History and Waste Analytics Module, a Budget and Price Intelligence Layer, and a Family Collaboration Hub. These modules collectively address seven documented household pain points: forgotten items, duplicated purchases, overspending, poor nutritional decision-making, absent voice interfaces, inability to coordinate family shopping, and unawareness of consumption patterns leading to food waste. The system is implemented using a React Native mobile frontend, a Flask-based backend, and a Firebase real-time database. Experimental validation through user testing with 30 participants demonstrates a 43% reduction in forgotten items, a 54% reduction in budget overruns, an 88.7% voice command accuracy, and a 34% reduction in food waste intent, confirming the system's effectiveness across all target dimensions. |
| AUTHOR | MALATESH PATIL, MANIKANTHA D D, MALLANAGOUDA K, NAVEEN R T, PROF. ARCHANA K N UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404112 |
| pdf/112_SmartCart.AI An Intelligent, Adaptive Grocery Management Systemfor Enhanced Household Shopping Efficiency, Budget Control, and Food Waste Reduction.pdf | |
| KEYWORDS | |
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