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Waste management is a growing problem on university campuses. Students often throw waste into the wrong bins because segregation is confusing or inconvenient. This leads to recyclable materials getting mixed with general waste, increasing the environmental footprint of the campus and making recycling inefficient.
My idea is to develop GreenBin, a smart waste segregation system that uses AI-powered image recognition to detect the type of waste — plastic, paper, metal, food, etc. — and automatically directs it to the correct compartment. The bins will have built-in sensors and a small display showing disposal instructions in real time.
The system will also send data to the campus sustainability office, showing how much recyclable and non-recyclable waste is collected each week. Students could be rewarded with “eco-points” for correctly disposing of waste, which can be redeemed at the campus café or bookstore.
The main beneficiaries are students, campus maintenance teams, and sustainability clubs. It promotes environmental awareness, reduces manual sorting, and helps universities achieve their sustainability goals.
This problem matters to me because I see overflowing trash bins and wasted recyclable material every day on campus. A small technological improvement like GreenBin can make our university cleaner, greener, and a model for sustainable living.
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