Intelligent Waste Monitoring and Classification System with Automated Disposal Suggestions

Excellence in waste management remains essential for environmental conservation activities to reduce the amount of waste that enhances landfill buildup. Through the Smart Waste Sorting Project, users receive assistance with waste classification based on a platform that provides disposal recommendations for optimizing waste management with eco-friendly waste handling procedures. Users can capture waste photos with their webcam on the interface platform, allowing the TensorFlow deep learning model to evaluate the information using the Waste Classification Data V2 training dataset. The system sends identification data to the Gemini API after waste item analysis, and this allows the API to develop disposal recommendations based on the input data. Smart waste sorting processes captured images through user requests without real-time speed, but they remain useful for both household and public institution usage. The document presents system architecture designs with implementation specifications together with assessment results of performance to determine usefulness in Indian sustainable waste management programs encountering issues in sound waste separation and disposal methods.