waste-classification

waste-classification

tanishq-ctrl

A deep learning-based web application that classifies different types of waste materials using computer vision. The system helps in proper waste segregation by identifying whether an item belongs to categories like cardboard, glass, metal, paper, plastic, or trash.

18 Stars
2 Forks
18 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$22.6K
Market Value
$28.2K

Growth over time

3 data points  ·  2026-04-09 → 2026-04-24
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What is the tanishq-ctrl/waste-classification GitHub project? Description: "A deep learning-based web application that classifies different types of waste materials using computer vision. The system helps in proper waste segregation by identifying whether an item belongs to categories like cardboard, glass, metal, paper, plastic, or trash.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone waste-classification

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git clone https://github.com/tanishq-ctrl/waste-classification.git

Clone via SSH

[email protected]:tanishq-ctrl/waste-classification.git

Download ZIP

Download master.zip

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