• M Sai Aiswarya
• Girish Kumar B C
• Anushree D
• Geoffrey Robinson
• Gyanada Muvvala

Managing groceries and planning balanced meals can be challenging in today’s fast-paced life, often leading to food wastage, poor nutrition, and unplanned eating habits. The Smart Grocery Management Application aims to simplify this by combining automation, intelligent recommendations, and health-focused meal planning. Built with a Python backend (Flask/FastAPI) and a ReactJS web interface, the system helps users track inventory, receive expiry and low-stock alerts, and discover recipes tailored to their available ingredients. Lever-aging the RecipeNLG dataset, it generates creative and diverse meal ideas while considering dietary preferences, allergies, and nutritional needs. Through an interactive questionnaire, the application personalizes a 7-day meal plan, covering all three daily courses for optimal balance and convenience. A voice-enabled assistant and AI-powered chatbot make the experience hands-free and engaging, offering real-time nutrition insights and recipe guidance. By uniting data-driven intelligence, personalization, and sustainability, this project promotes healthier eating habits, reduces food waste, and transforms everyday kitchen management into a smart and efficient experience.

"RECKIT: AN AI-DRIVEN SMART KITCHEN ASSISTANT FOR PERSONALIZED MEAL PLANNING AND GROCERY MANAGEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.d233-d241, December-2025, Available :http://www.jetir.org/papers/JETIR2512331.pdf

"RECKIT: AN AI-DRIVEN SMART KITCHEN ASSISTANT FOR PERSONALIZED MEAL PLANNING AND GROCERY MANAGEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. ppd233-d241, December-2025, Available at : http://www.jetir.org/papers/JETIR2512331.pdf