This study presents the development and evaluation of G-WASTE, a real-time garbage scheduling and collection system designed to address inefficiencies in traditional waste management in Bogo City. Findings from surveys conducted among the LGU, garbage collectors, and residents reveal a lack of real-time communication between residents and collectors, an inefficient waste collection process, improper waste categorization, and delayed reporting of waste issues. The system aimed to improve by providing features such as real-time location and notification, waste categorization guide, waste generation prediction to recommend admin where and when garbage tends to overflow, and an AI chatbot for reporting and help. Using a mixed-method approach, the study focused on stakeholder experiences and system performance under real-world conditions through User Acceptance Testing based on ISO 25010 standards. The findings indicate overall weighted means of 4.3 (Strongly Agree) it means the app feature meets the needs of the residents, 3.7 (Agree) indicates how collectors find the app difficult to use which is due to the majority of the garbage collectors not having mobile phones or not using it regularly, 4.3 (Strongly Agree) it means LGU satisfied and support operation needs, and 4.5 (Strongly Agree) it means IT experts indicate the strong technical approval, demonstrating that G-WASTE effectively enhances communication, optimizes collections schedules, and support proper waste management practices. However, the system has limitations, the system dependent on the internet connectivity being stable to operate. These results have practical implications for local governments and communities seeking to implement data-driven, sustainable, and citizen-friendly waste collection.