WASTE SORTING APP WITH IMAGE RECOGNITION
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UNIVERSITI MALAYSIA SARAWAK
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As technology advances and awareness of environmental issues grows, individuals increasingly seek innovative solutions to improve waste management and recycling practices. Many people still have a difficulty in properly sorting waste due to limited knowledge and understanding of waste categories. Common items, including batteries, paints, and electronic components that require special disposal methods, yet many individuals are unaware of these requirements. To address these challenges, the proposed application “Waste Sorting App with Image Recognition” is developed to simplify the waste sorting process through a mobile application that utilizes an advanced image recognition system powered by AI algorithms. This application allows users to capture images of various waste items and receive instant feedback on their types to be able to sort them correctly. The AI algorithms analyze the images to identify the type of waste and provide a clear guidance on whether it is recyclable, compostable, hazardous, or general waste. By integrating machine learning techniques, the app improves its accuracy over time and can adapt to user interactions. In contrast with mechanical methods and IoT systems, AI has the potential to process complex data and also a more cost-effective solution. This project adopts an agile development approach, emphasizing iterative progress and continuous feedback, which allows for flexibility throughout the project lifecycle. To align the application with user requirements, a survey was conducted to gather insights on preferences regarding waste sorting. A comparative analysis of similar applications was also performed to identify their limitations to ensure that the proposed application implements valuable features. System architecture and database design are represented through UML diagrams, while the user interface design is created using wireframing methods. This project aims not only to improve waste sorting habits but also to promote a more sustainable lifestyle by making recycling more accessible and efficient through the integration of AI-powered image recognition technology.