GitHub - preet27m/project: This project involves training a machine learning model to classify images of waste materials as either recyclable or non-recyclable. Using a dataset of labeled waste images, the model is trained with image classification techniques, such as Convolutional Neural Networks (CNNs), to accurately categorize waste.

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src		src
.gitignore		.gitignore
eslint.config.js		eslint.config.js
index.html		index.html
package-lock.json		package-lock.json
package.json		package.json
postcss.config.js		postcss.config.js
tailwind.config.js		tailwind.config.js
tsconfig.app.json		tsconfig.app.json
tsconfig.json		tsconfig.json
tsconfig.node.json		tsconfig.node.json
vite.config.ts		vite.config.ts

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This project involves training a machine learning model to classify images of waste materials as either recyclable or non-recyclable. Using a dataset of labeled waste images, the model is trained with image classification techniques, such as Convolutional Neural Networks (CNNs), to accurately categorize waste.

project-seven-lovat-65.vercel.app

cnn-classification dataset deep-learning image-classification image-processing machine-learning recycling segregation sustainability tensorflow waste-management

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