https://github.com/elifirinci/mushrooms-plants-classification
This project features AI models for identifying mushrooms and plants as poisonous or edible using image-based predictions. Both models are tested through an interactive Gradio interface, ensuring user-friendly and accurate identification for foragers and researchers.
https://github.com/elifirinci/mushrooms-plants-classification
classification cnn cnn-classification gradio image-classification machine-learning mushroom-classification plant-classification scikit-learn
Last synced: 3 months ago
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This project features AI models for identifying mushrooms and plants as poisonous or edible using image-based predictions. Both models are tested through an interactive Gradio interface, ensuring user-friendly and accurate identification for foragers and researchers.
- Host: GitHub
- URL: https://github.com/elifirinci/mushrooms-plants-classification
- Owner: elifirinci
- Created: 2025-01-03T16:59:25.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-03T15:16:59.000Z (9 months ago)
- Last Synced: 2025-02-25T18:30:34.325Z (8 months ago)
- Topics: classification, cnn, cnn-classification, gradio, image-classification, machine-learning, mushroom-classification, plant-classification, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 979 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This repository contains two AI-powered models designed for safe foraging and identification:
- Mushroom Classification Model: Predicts whether a mushroom is poisonous or edible based on images.
- Plant Classification Model: Identifies whether a plant is poisonous or edible.
Both models are tested and demonstrated through an interactive Gradio interface for seamless usability.
# AI Models for Identifying Poisonous and Edible Mushrooms & Plants
## Overview
This project features two distinct AI models designed to ensure safety and awareness when encountering wild flora.
1. **Mushroom Identification Model**
- Predicts if a mushroom is poisonous or edible based on image input.
2. **Plant Identification Model**
- Classifies plants as toxic or non-toxic using image-based predictions.
Both models are integrated into a **Gradio** interface for real-time testing and user interaction.
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## Features
- **User-Friendly Interface**: Utilize Gradio to upload an image and get instant predictions.
- **High Accuracy**: Models trained on curated datasets for reliable classification.
- **Wide Applicability**: Ideal for foragers, researchers, and nature enthusiasts.
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## Technologies Used
- TensorFlow/Keras: Model training and development.
- Gradio: Interface for model interaction.
- Python: Core programming language.
Feel free to fork the repository, make enhancements, and submit a pull request.