AI-Powered Smart Cooking Assistant

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.

Authors

Publication Details

Journal
International Journal Of Recent Trends In Multidisciplinary Research
Published
2025-08-28
DOI
https://doi.org/10.59256/ijrtmr.20250504005
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Smart Cooking Assistant

Gulafshan Fatima Begum, Mohammad Ubaidulla Arif
International Journal Of Recent Trends In Multidisciplinary Research
IoT-based Smart Home Systems
article

AI-Powered Smart Cooking Assistant

Gulafshan Fatima Begum, Mohammad Ubaidulla Arif
article en

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.

International Journal Of Recent Trends In Multidisciplinary Research
Openalex Percentile: Top 78%
IoT-based Smart Home Systems
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AI-Powered Smart Cooking Assistant — Gulafshan Fatima Begum, Mohammad Ubaidulla Arif · International Journal Of Recent Trends In Multidisciplinary Research (2025) | TGRS Research Map | TGRS