🐞 Insect Species Identifier

Welcome to the Insect Species Identifier – an AI-powered web app that identifies insect species from images using a Convolutional Neural Network (CNN) model and a lightweight MobileNetV2 architecture.

Developed by Pragya Srivastava, this project blends machine learning with an interactive Streamlit interface to provide fast and accurate insect recognition.

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🧠 How It Works

• ✅ Pre-trained CNN model based on MobileNetV2
• ✅ Input image is resized and normalized
• ✅ Model predicts the insect class from 11 categories
• ✅ Clean, user-friendly interface built with Streamlit

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🐛 Supported Insect Classes

• Ant
• Bee
• Beetle
• Butterfly
• Dragonfly
• Fly
• Grasshopper
• Ladybug
• Mosquito
• Spider
• Wasp

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📦 Tech Stack

• Python
• TensorFlow / Keras
• Streamlit
• Pillow (image processing)
• NumPy

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🚀 Getting Started

🔧 Installation

Clone the repo:

git clone https://github.com/pragya-2765/insect-classifier-streamlit.git
cd insect-classifier-streamlit
Install dependencies:

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pip install -r requirements.txt
▶️ Run the App
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streamlit run insect_identifier_app.py
Then open the provided local URL in your browser.

📁 Project Structure
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insect-species-identifier/
├── insect_identifier_app.py         # Main Streamlit app
├── insect_classifier_model.h5       # Trained CNN model
├── class_indices.json               # Label to class index mapping
├── requirements.txt                 # Python dependencies
└── README.md                        # Project documentation

📷 Sample Image
To help you get started, we've included some example insect images in the `sample_images` folder. You can use these to test the app and see how well it performs!

👩‍💻 Authors
Pragya Srivastava

📄 License
This project is licensed under the MIT License.