The article explains and demonstrates through Python code how AI can reduce food waste using three approaches: predicting which items are likely to be wasted, recommending recipes for expiring ingredi
ents, and optimizing purchase quantities based on consumption patterns. The implementation uses machine learning techniques like Logistic Regression and Random Forest, along with NLP for recipe matching.
Reasons to Read -- Learn:
how to implement a practical AI-driven food waste reduction system using Python, including specific code for waste prediction, recipe recommendation, and purchase optimization
how to combine multiple machine learning techniques (Logistic Regression, Random Forest, TF-IDF) to create an integrated solution for a real-world sustainability problem
how to build a recipe recommendation system that matches expiring ingredients to relevant recipes using NLP techniques, with demonstrated accuracy scores like 57.74% relevance matching
5 min readauthor: Jigar Joshi
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