🌿 Plant Leaf Disease Identification using Streamlit This project identifies plant leaf diseases using deep learning and provides a user-friendly Streamlit interface for easy disease detection. Simply upload an image of a plant leaf, and the model will classify the disease and provide recommendations. 🚀 Features ✅ Streamlit Web App for easy image upload and disease prediction ✅ Deep Learning Model (CNN) trained on plant disease datasets ✅ Real-time Predictions with confidence scores ✅ User-friendly UI with interactive elements ✅ Disease Information & Remedies provided for detected diseases
🖥️ Tech Stack Python Streamlit (for the UI) TensorFlow/Keras (for the model) OpenCV & PIL (for image processing) NumPy & Pandas (for data handling)
Dataset Download here link: https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset 🔧 How to Run 1️⃣ Clone the repository:
bash Copy Edit git clone https://github.com/ComputerVision804/plant-Leaf-disease-detection.git cd plant-disease-detection 2️⃣ Install dependencies:
bash Copy Edit pip install -r requirements.txt 3️⃣ Run the Streamlit app:
bash Copy Edit streamlit run main.py 📸 Demo! Screenshot 2025-03-18 020009
🤝 Contributing Feel free to fork the repo, submit issues, or contribute improvements!