README.md

metadata

title: PlantIdentifier
emoji: 👀
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 5.35.0
app_file: app.py
pinned: false

🌿 Plant Identifier - Deep Learning Image Classifier

This is a deep learning-powered web app that identifies plant types from images using a Convolutional Neural Network (CNN). Built with TensorFlow and deployed using Gradio, it achieves 97% accuracy on unseen plant images.

👉 Live Demo on Hugging Face Spaces

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🚀 Features

• 🌱 Identifies plant type from uploaded images
• 📸 Simple drag-and-drop image upload
• ⚙️ Powered by a CNN model trained on real-world plant datasets
• 🌐 Deployed using Gradio on Hugging Face Spaces

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🧠 Model Overview

• Architecture: EfficientNetB0 (fine-tuned with dropout and global average pooling)
• Accuracy: ~97% on validation set
• Framework: TensorFlow / Keras
• Input Shape: 224x224 RGB images
• Dataset: Trained on the Plants Type Dataset from Kaggle
• Notebook: Full training and evaluation in:
  🚀 Plant_Image_Model_TensorFlow_Builder.ipynb

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🛠 Tech Stack

• Python
• TensorFlow / Keras
• EfficientNetB0
• Gradio (for web-based image upload UI)
• Google Colab (for model training with GPU support)
• Matplotlib / Seaborn (for evaluation visuals)
• scikit-learn (for metrics and confusion matrix)

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