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naodd9/ethiopian-food-classifier

Record type:

software
Creator:
nao
Host:
# 🌮 Ethiopian Food Classifier An AI-powered web application that can identify 11 different Ethiopian dishes from food photos using deep learning and computer vision. ## 🍽️ Live Demo Try the live web app: **Ethiopian Food Classifier** ## 📸 Screenshot *The app interface showing Ethiopian food classification in action* ## 🎯 Features - **AI-Powered Recognition**: Identifies 11 different Ethiopian dishes - **Real-time Predictions**: Get instant classification results - **Confidence Scores**: See prediction confidence percentages - **Top 3 Predictions**: View alternative possibilities - **Mobile-Friendly**: Works on all devices - **Easy to Use**: Simple drag-and-drop interface ## 📋 Supported Ethiopian Dishes The model can recognize these 11 traditional Ethiopian foods: 1. **Beyaynetu** - Mixed vegetable platter 2. **Chechebsa** - Spiced fried bread 3. **Doro Wat** - Spicy chicken stew 4. **Firfir** - Shredded injera with sauce 5. **Genfo** - Porridge 6. **Kikil** - Beef stew 7. **Kitfo** - Minced raw beef 8. **Shekla Tibs** - Sizzling meat platter 9. **Shiro Wat** - Chickpea stew 10. **Tihlo** - Barley dough balls 11. **Tire Siga** - Raw meat ## 🚀 Quick Start ### Try the Web App 1. Visit the live demo 2. Upload a photo of Ethiopian food 3. Click "Classify Food" 4. See the AI prediction with confidence scores ### Run Locally ```bash # Clone the repository git clone github.com cd ethiopian-food-classifier # Install dependencies pip install -r requirements.txt # Run the Streamlit app streamlit run app.py