Fixes Mushroom Classification #765
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👋 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. To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review! |
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Nov 5, 2024
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🎉🎉 Thank you for your contribution! Your PR #765 has been merged! 🎉🎉 |
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Related Issues or bug
Accurate identification of poisonous mushrooms is essential, as misclassification can lead to serious health risks. Traditional identification methods rely on manual observation and expertise, which can be error-prone. This project leverages machine learning to classify mushrooms as edible or poisonous based on key features, providing a reliable and data-driven approach to mushroom classification.
Fixes: #763
Proposed Changes
This project uses machine learning to classify mushrooms as either edible or poisonous based on their physical characteristics. By training various classification models on a dataset of mushroom features, the project aims to assist in identifying toxic mushrooms, which can be a critical application for both environmentalists and foragers.