AI-Powered Smart Cooking Assistant

Abstract

The increasing awareness of health, nutrition, and sustainability in daily life has created the need for intelligent kitchen systems that go beyond conventional cooking aids. The AI-Powered Smart Cooking Assistant is designed as a comprehensive platform that leverages artificial intelligence to assist users in meal preparation, nutritional monitoring, and reducing household food waste. By integrating a transformer-based natural language model (GPT-Neo), the assistant dynamically generates recipes based on available ingredients, user-defined dietary restrictions, and cultural preferences. The system also automates weekly meal planning, performs basic nutritional assessments using simulated datasets, and includes a food waste tracking module. Developed using Python, HuggingFace Transformers, pandas, and Streamlit, the assistant is accessible through a simple web interface. This holistic approach not only saves time but also fosters sustainable consumption patterns and health-conscious decisions. The final prototype offers a modular, scalable solution for implementation as a mobile or web application aimed at individuals, families, and food service providers.