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With the rapid growth of urban populations, inefficient waste management has become a pressing problem. Overflowing trash bins create unhygienic conditions, attract pests, cause pollution, and degrade the overall quality of life in cities. Current waste collection systems often operate on fixed routes and schedules, which leads to unnecessary fuel consumption and missed pickups.
My idea is to create a Smart Waste Management System using IoT sensors installed in public waste bins that continuously monitor the fill levels. These sensors send data to a cloud-based platform accessed by municipal authorities. Using this real-time data, AI-powered software optimizes waste collection routes dynamically, sending trucks only to bins that need to be emptied. Additionally, a mobile app can alert residents about collection timings and promote effective waste segregation practices to encourage recycling.
This solution benefits city administrations by reducing operational costs, fuel consumption, and environmental impact. Citizens gain from cleaner streets and a healthier urban environment. This problem is important to me because sustainable urban management is critical as cities grow quickly, and technology can play a vital role in improving everyday life.
Technically, this project involves IoT hardware, cloud computing, and AI-driven route optimization algorithms. The system is scalable and can be adapted to various urban settings to help cities move towards smarter, cleaner future living.
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