• Deeksha Keshav Naik
• Dhanya
• Disha Shetty
• Manisha Naik
• Prof.Deepthi Dsouza

In today’s fast-paced world, the demand for personalized, efficient, and health-conscious meal planning solutions is steadily increasing. The proposed project, AI-Based Recipe Finder, presents an intelligent web application that generates customized cooking recipes based on user-provided ingredients, emotional state (mood), and dietary preferences. Unlike static recipe databases or tag-based search systems, this application uses Generative AI to create entirely new recipes in real-time, offering a unique experience tailored to each user’s needs.The system is developed using a React.js frontend and a FastAPI backend, integrated with Google’s Gemini API—a large language model capable of understanding natural language prompts and producing coherent, step-by-step recipe instructions. This project not only simplifies daily meal decisions but also encourages mindful cooking by minimizing food waste and aligning suggestions with the user’s lifestyle choices. The generated recipes are displayed on a dedicated page, enhancing clarity and user experience. Additionally, the platform responds swiftly to inputs and provides a “Generating recipe...” indicator during processing, maintaining user engagement. Overall, this project highlights a practical and innovative application of generative AI in everyday life, transforming meal preparation into a more intelligent and personalized process.

Artificial Intelligence, Generative AI, Recipe Generation, FastAPI, React.js, Gemini API, Personalized Cooking, Natural Language Processing, Mood-Based Recommendation, Dietary Preferences, Web Application, Google AI Studio.

"AI-POWERED RECIPE GENERATION BASED ON USER INGREDIENTS, MOOD, AND DIETARY PREFERENCES USING GENERATIVE AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.217-222, July-2025, Available :http://www.jetir.org/papers/JETIRGX06040.pdf

"AI-POWERED RECIPE GENERATION BASED ON USER INGREDIENTS, MOOD, AND DIETARY PREFERENCES USING GENERATIVE AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp217-222, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06040.pdf