Find nutrition facts using your phone camera!
Mentha is an Android application that finds nutrition facts by scanning foods using a phone camera. Under the hood, It performs Image Classification with a MobileNet CNN model over the TensorFlow framework.
The project uses the TensorFlow Lite framework to run the image classification model on an android device. The model is a MobileNet V3 CNN architecture trained over the ILSVRC dataset, a subset of ImageNet. It is available on TensorFlow Hub .
⚠️ The current model supports a limited number of food classes. As a future roadmap, I will use the transfer learning technique to customize the model for a broader range of food classes.
Other Android technologies:
- Kotlin Coroutines
- AndroidX Camera
- AndroidX Lifecycle
- AndroidX Room
- KSP
- Jetpack Compose
- Material 3
- Coil
- Composite Builds
- Convention Plugins
- Version Catalog
According to Wikipedia:
"Mentha (also known as mint) is a genus of plants in the family Lamiaceae (mint family)."
As a boy whose childhood was full of stomachaches, the word mentha means as a potion of healing to me. So I named the project Mentha.
This was the final project for the Artificial Intelligence course during my B.Sc. in Computer Engineering.
Feel free to create pull requests, especially ML model improvements ;)
Thanks to Dr. Hamidreza Hamidi for his guidance toward the project.
Copyright 2023 Ali Bagherifam
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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