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Smart Food Waste Reduction System
One of the most pressing problems in today’s world is food waste, both at the household and retail level. According to the UN, nearly one-third of food produced globally goes to waste, even while millions of people suffer from hunger. Current solutions such as food donation drives, awareness campaigns, and mobile apps for surplus food redistribution exist, but they face serious gaps. Donation systems are often inefficient, requiring manual coordination. Apps mostly target restaurants or supermarkets, while household-level waste—one of the largest contributors—remains largely unaddressed.
My idea is a Smart Food Waste Reduction System (SFWRS) that integrates IoT and AI to track, predict, and reduce waste at both the consumer and retail level. For households, smart kitchen bins embedded with weight and image sensors can log food thrown away, sending weekly reports to users’ mobile apps. AI-driven recommendations would suggest meal plans, portion sizes, and recipes using soon-to-expire ingredients. For retailers, the system could connect inventory management with dynamic discounting—alerting shoppers about items nearing expiry at lower prices in real time. This creates a dual solution: reducing waste while saving money for consumers.
The beneficiaries are multiple:
Consumers, who save money and eat more responsibly.
Retailers, who can minimize loss and attract customers with discounts.
Communities and the environment, as reduced waste means fewer greenhouse gas emissions and better food distribution.
This issue matters deeply to me because I’ve seen food wastage in everyday settings—leftovers tossed out in homes and supermarkets discarding edible goods—while food insecurity remains widespread. With technology advancing, it feels irresponsible not to create systems that connect surplus with need.
By combining smart devices, predictive analytics, and community-driven sharing, the SFWRS has the potential to transform food waste from a silent crisis into an opportunity for sustainability.