  According to WWF, 1.1 billion people lack access to water, and 2.7 billion
experience water scarcity at least one month a year. By 2025, two-thirds of the
world's population may be facing water shortages. This highlights the urgency
of managing water usage efficiently, especially in water-intensive sectors like
food. This paper proposes a recommendation engine, powered by knowledge graphs,
aiming to facilitate sustainable and healthy food consumption. The engine
recommends ingredient substitutes in user recipes that improve nutritional
value and reduce environmental impact, particularly water footprint. The system
architecture includes source identification, information extraction, schema
alignment, knowledge graph construction, and user interface development. The
research offers a promising tool for promoting healthier eating habits and
contributing to water conservation efforts.
