Smart Waste Management System

Smart Waste Management Website is an innovative, web-based platform that encourages smart collection and smart separation. This project aims to solve one of the biggest environmental issues we have now a days i.e. Dispose of Waste with the help of innovative tech to improve the user experience & work efficiency. The platform allows users to interact and engage with it using a responsive front-end by implementing modern web development technologies like HTML, CSS, and JavaScript. The website uses Python to process image recognization to verify the waste uploaded is in fact waste_Selected, through its image recognization, non waste images can not be processed. This is done using predefined rules that are coded in Python and libraries that support it such as OpenCV and TensorFlow/Keras. Users may register or log in for a dashboard that enables uploading images of waste, retrieving a history of uploaded waste, submitting feedback, and obtaining a list of waste types that may be accepted. The project is a system which allows to a user to easily access the waste collection and disposal and making it more interesting by adding the feature of web based tools and methods embedded with artificial intelligence for better implementation and user interaction Featured a responsive web interface for accessibility and engagement by a wide audience. We elaborate on design principles, technical implementation, and challenges of development. It shows the potential of websites in solving local real- life problems and helps with awareness and efficiency in their respective waste management systems. The Smart Waste Management Website is a proactive initiative that addresses the problems of waste management using modern technology. The project is a system which allows to a user to easily access the waste collection and disposal and making it more interesting by adding the feature of web based tools and methods embedded with artificial intelligence for better implementation and user interaction Featured a responsive web interface for accessibility and engagement by a wide audience. The system supports registration and login of users to provide a secure personal dashboard experience. The dashboard includes upload waste images, previously uploaded waste, feedback, accepted waste types and logout. The infrastructure for verifying what kind of waste the user uploaded through the "Upload Waste" function was improved with Python image recognition algorithms that use OpenCV and TensorFlow/Keras libraries to ensure the images matched what was expected to constitute waste