### Background of the Study
The global increase in waste generation presents significant challenges for environmental sustainability.
According to the World Bank, global waste is expected to grow by 70% by 2050, leading to serious
environmental and public health concerns if not managed properly. Waste segregation, the process of
separating waste into different categories such as biodegradable, non-biodegradable, and recyclable
materials, plays a critical role in reducing environmental impact and promoting recycling. However,
improper waste segregation is still prevalent, leading to ineffective recycling efforts and environmental
degradation.
In the Philippines, waste management remains a pressing issue, particularly in urban areas where
improper disposal contributes to pollution, clogged waterways, and health hazards. Despite government
efforts, such as the Ecological Solid Waste Management Act of 2000 (Republic Act No. 9003), which
mandates proper waste segregation at the source, many institutions and households continue to
struggle with compliance.
Educational institutions, such as Dr. Yanga’s Colleges, Inc. (DYCI), are in a unique position to influence and
educate the next generation on the importance of sustainable practices. As part of its environmental
responsibility, DYCI has implemented several initiatives aimed at promoting environmental
consciousness, including recycling programs and green campaigns. However, manual waste segregation
remains a challenge, often resulting in incorrect disposal, which hampers the college's overall
sustainability goals.
To address this challenge, the integration of technology into waste management systems has gained
attention. Automated trash sorting systems, which use sensors and machine learning algorithms to
classify and separate waste, have been introduced as innovative solutions to improve efficiency and
accuracy in waste segregation. These systems not only reduce the burden of manual sorting but also
ensure higher recycling rates by minimizing human error.
In line with this trend, *IntelliBin*, a Raspberry-Pi-powered automatic trash separator, is proposed as a
solution for DYCI's waste management issues. By automating the waste segregation process, *IntelliBin*
aims to streamline recycling efforts, reduce waste contamination, and support the institution’s mission
to be an environmentally responsible campus. This study will explore the development and
implementation of *IntelliBin* and evaluate its potential to improve DYCI’s waste management system
and contribute to a more sustainable campus environment.
