UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://ml-nexus.vercel.app/
MIT License
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Classification of Waste using CNN #866

Closed Varunshiyam closed 2 weeks ago

Varunshiyam commented 2 weeks ago

Related Issues or bug

Effective waste management is essential for environmental sustainability, yet waste segregation remains a challenging task, especially when it relies on human sorting. Manual sorting is often inefficient and prone to errors, leading to improper waste disposal. This project addresses this challenge by creating an automated waste classification system using CNNs to accurately categorize waste images. Automating waste classification can improve sorting accuracy, reduce contamination in recycling streams, and facilitate efficient waste management processes.

Fixes: #862

Proposed Changes

This project implements a waste classification system using Convolutional Neural Networks (CNNs) to categorize waste images into different types. It utilizes deep learning techniques and leverages CNN architectures to analyze images of waste and predict their classification accurately. The primary model is trained on a dataset of labeled waste images, allowing it to distinguish between various waste types, such as recyclables and non-recyclables. The classification process involves image pre-processing, feature extraction using convolutional layers, and a fully connected network to predict the waste category.

vercel[bot] commented 2 weeks ago

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github-actions[bot] commented 2 weeks ago

πŸ‘‹ Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. Don't forget to mention the issue you solved!

github-actions[bot] commented 2 weeks ago

πŸŽ‰πŸŽ‰ Thank you for your contribution! Your PR #866 has been merged! πŸŽ‰πŸŽ‰