• Ms. Shikha Rathi
• Ujjval
• Simran
• Taniksha

Food waste is a significant global concern, particularly prevalent at the consumption level, leading to environmental, economic, and social impacts. One effective strategy to mitigate food waste is to maximize the use of food already available at home. However, this approach introduces the challenge of determining what recipes can be made with the available ingredients. For beginner cooks, the task of selecting and combining the right ingredients can be daunting. To address this, we propose developing a recipe recommendation system that leverages the ingredients users have on hand. The system, implemented as a web application, recommends recipes based on user-inputted ingredients by utilizing a recipe API to find relevant recipes.

Ingredients, cooking, API integration, Express JS, firebase database, recommendation, recipe search, food waste

"Recipe Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.p248-p252, May-2024, Available :http://www.jetir.org/papers/JETIR2405G37.pdf

"Recipe Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppp248-p252, May-2024, Available at : http://www.jetir.org/papers/JETIR2405G37.pdf