Published Paper Details:

Effective waste management is crucial for the sustainability of the environment, where rapid urbanization has led to increasing waste generation and inadequate recycling practices. Traditional systems often fall short due to inefficiencies and lack of public engagement. This research introduces a user-friendly waste sorting gadget designed specifically for Indian urban contexts, which categorizes waste into recyclable, non-recyclable, and compostable materials. The gadget utilizes a machine learning-based system powered by a deep learning convolutional neural network (CNN). Users can place their waste items into the device, which scans and analyzes them using advanced image recognition technology. The design of the gadget emphasizes user-friendliness, featuring an intuitive interface with clear visual indicators. When waste is sorted, users receive immediate feedback on whether the item was categorized correctly. This real-time interaction not only enhances the sorting experience but also educates users on proper waste disposal practices, fostering a greater sense of responsibility. By addressing specific waste management challenges, this innovative gadget aims to enhance recycling rates, reduce landfill waste, and promote greater environmental responsibility among citizens. The integration of technology into waste sorting can significantly contribute to a more sustainable urban environment in India, encouraging community engagement and effective waste management solutions.