https://github.com/raflizocky/asclepius

Android | A mobile application to predict cancer by images.
https://github.com/raflizocky/asclepius

android android-studio dicoding-submission kotlin machine-learning tensorflow-lite

Last synced: 23 days ago
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Android | A mobile application to predict cancer by images.

• Host: GitHub
• URL: https://github.com/raflizocky/asclepius
• Owner: raflizocky
• License: mit
• Created: 2024-09-13T07:15:51.000Z (5 months ago)
• Default Branch: master
• Last Pushed: 2025-01-10T02:31:41.000Z (about 1 month ago)
• Last Synced: 2025-01-10T03:23:05.973Z (about 1 month ago)
• Topics: android, android-studio, dicoding-submission, kotlin, machine-learning, tensorflow-lite
• Language: Kotlin
• Homepage:
• Size: 12.4 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
## Demo

## Features

- Analyze & Display prediction, confidence score, and inference time

## Download

- Min. Android version: Android 5.0 Lollipop (API level 21)

- Download: [APK](https://github.com/raflizocky/Asclepius/releases)

## Resources Used

- Model: [cancer_classification.tflite](https://github.com/dicodingacademy/a663-machine-learning-android/raw/master/submission/cancer_classification.tflite)

- Sample Image: [cancer & non-cancer](https://github.com/dicodingacademy/a663-machine-learning-android/raw/master/submission/Sample%20Cancer.zip)

## Building

To build this project, you need at least [Android Studio](https://developer.android.com/studio) Iguana or a later stable version.

1. Clone the project and open it in Android Studio.

2. Sync the project with Gradle, then run the app.

## Contributing

If you encounter any issues or would like to contribute to the project, feel free to:

-   Report any [issues](https://github.com/raflizocky/Asclepius/issues)

-   Submit a [pull request](https://github.com/raflizocky/Asclepius/pulls)

-   Participate in [discussions](https://github.com/raflizocky/Asclepius/discussions) for any questions, feedback, or suggestions

## License

Code released under the [MIT License](https://github.com/raflizocky/Asclepius/blob/master/LICENSE.txt).