Efficient waste management system using IoT and smart credit system for college campuses

This research project proposes an efficient waste management system for college campuses utilizing the Internet of Things (IoT) and a smart credit system. The system employs a Raspberry Pi device and data visualization tools to enhance the productivity of local municipal corporations, leading to a cleaner and more sustainable environment through intelligent waste pickup and configurable garbage bin solutions. The proposed device is designed to be affixed to the interior walls of trash cans to gather data on the fill level of garbage in relation to a threshold value. This data is then stored for future analysis and optimization of garbage bins, providing the municipal corporation with vital projections for optimal garbage collection, installation of supplementary garbage bins, and deployment of additional garbage collector teams. Additionally, the system incorporates a smart credit system that transfers credits to a student’s profile when they correctly dispose of their trash by scanning a Quick Response (QR) code on the bin or being near the vicinity. These credits can be used to incentivize proper waste disposal and promote a cleaner campus environment. The system provides real-time updates on crucial information such as bin ID, fill level, bin location, and timestamp through an application, enabling efficient garbage monitoring and aiding in maintaining appropriate garbage levels. The objective of this study is to transform the student’s mindset and digitize the waste management system for the college community.