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README.md

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+---
+title: Insect Detection
+emoji: 🐝
+colorFrom: yellow
+colorTo: green
+sdk: docker
+app_file: Insect_HFspace_Streamlit_App.py
+pinned: false
+license: mit
+tags:
+  - computer-vision
+  - image-classification
+  - insect-classification
+  - deep-learning
+  - tensorflow
+  - mobilenet
+  - efficientnet
+  - resnet
+  - inception
+---
+
+# 🦋 Multi-Model Insect Classification System - A Web/Mobile App
+### Developed by Dr. Thyagharajan K K
+
+## Description
+
+AI-powered insect classification application featuring multiple state-of-the-art deep learning models. Upload images to identify insect species with confidence scores and top-3 predictions.
+
+## Features
+
+- 🎯 Multiple pre-trained models (Inception V3, EfficientNet, ResNet50)
+- 📸 Upload custom images or use sample test images
+- 📊 Confidence scores with top-3 predictions
+- 🚀 Fast inference with model caching
+- 📱 Responsive design for web and mobile
+
+## Models Available
+
+- **Inception V3** - High accuracy, balanced performance
+- **EfficientNet B0** - Efficient and lightweight
+- **ResNet50** - Deep residual learning
+- (More models coming soon...)
+
+## How to Use
+
+1. Select a model from the dropdown
+2. Upload an insect image or choose from sample images
+3. Click "Predict" to get classification results
+4. View predicted class with confidence score
+
+## Technical Details
+
+- **Framework:** TensorFlow/Keras
+- **Input Size:** 300×300 pixels
+- **Interface:** Streamlit
+- **Hosted on:** Hugging Face Spaces
+
+## License
+
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+## Citation
+
+If you use this application in your research or educational projects, please provide appropriate attribution.
+
+## Contact
+
+For questions or collaboration opportunities, please open a discussion in this Space.

requirements.txt

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+streamlit
+tensorflow-cpu==2.14.0
+huggingface_hub
+numpy
+Pillow