Food Image Analyzer is a machine learning project where I trained a MobileNetV2 model on the Food-41 dataset to classify over 100 types of food. This easy-to-use web application uses FastAPI to serve the model, allowing users to upload images and get predictions with confidence scores. The project demonstrates end-to-end ML workflow, from dataset preprocessing and model training to API deployment.
- 📸 Upload food pictures from your device
- 🔍 Get instant AI-powered food recognition
- 📊 See how confident the AI is about its prediction
- 🔗 Share your analyzed food images with friends
- 📱 Use it on any device (mobile, tablet, or computer)
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Upload Your Image
- Drag and drop a food image, or
- Click to choose an image from your device
- Supported formats: JPEG, JPG, PNG, SVG, GIF
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Get Results
- Wait a few seconds while our AI analyzes your image
- See what food item was detected
- Check the confidence score of the prediction
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Share With Others
- Get a shareable link to your analyzed image
- Copy the link with one click
- Share it with friends and family
Our AI can identify over 99+ different food items! From pizza to sushi, and from apple pie to chocolate cake. The system is specifically trained to recognize popular dishes and food items.
- Images should contain only food items
- Better results with clear, well-lit photos
- Images containing people may affect the accuracy
- Maximum file size: 5MB
- Your images are stored securely
- No personal information is collected
- Images are processed automatically by AI
If you encounter any issues or have questions, please contact us at unikhalidh@gmail.com
Khalid Hussain - Making food recognition easy and accessible for everyone!
Happy Food Analyzing! 🎉