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 poisonous or edible using image-based predictions.

Both models are integrated into a Gradio interface for real-time testing and user interaction.

---

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.

---

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.