A fast and accurate mobile application that identifies food items using on-device machine learning. Simply take a photo or select one from your gallery, and instantly get the classification result with confidence levels.
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- Lightning-Fast Classification: Powered by an optimized TensorFlow Lite model that runs entirely on your device
- Extensive Food Database: Recognizes over 2,000 different food items
- Dual Input Methods:
- Capture photos directly using your camera
- Select existing images from your gallery
- Confidence Scoring: View the model's confidence level for each prediction
- On-Device Processing: All inference happens locally, ensuring privacy and eliminating the need for internet connectivity
- Select Input: Choose to take a new photo with your camera or select an existing image from your gallery
- Instant Analysis: The TensorFlow Lite model processes the image directly on your device
- View Results: See the identified food item along with the confidence percentage
- Model: Custom TensorFlow Lite (.tflite) model optimized for mobile deployment
- Performance: Blazing-fast inference on all device types
- Classification Range: 2,000+ food categories
- Privacy-First: No data leaves your device
- Dietary Tracking: Quickly identify foods for nutrition logging
- Food Discovery: Learn about unfamiliar dishes and ingredients
- Educational Tool: Teach children about different food types
- Restaurant Assistance: Identify dishes when dining out
- Android/iOS device
- Camera permission (for taking photos)
- Gallery/Storage permission (for selecting images)
Download the apk file and install it on your device.
This project is licensed under the MIT License - see the LICENSE file for details.
Md. Maksaline Haque Sajib
Note: Classification accuracy depends on image quality, lighting conditions, and how clearly the food item is visible in the photo.