https://github.com/whdhdyt21/cancer-detection

A mobile app for cancer detection using TensorFlow Lite, enabling users to analyze images and receive predictions with confidence scores. Includes image editing features, prediction history, and health news integration via NewsAPI.
https://github.com/whdhdyt21/cancer-detection

android cancer-detection kotlin tensorflow-lite

Last synced: about 1 month ago
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A mobile app for cancer detection using TensorFlow Lite, enabling users to analyze images and receive predictions with confidence scores. Includes image editing features, prediction history, and health news integration via NewsAPI.

• Host: GitHub
• URL: https://github.com/whdhdyt21/cancer-detection
• Owner: whdhdyt21
• Created: 2024-11-30T01:51:39.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-30T02:26:22.000Z (about 2 months ago)
• Last Synced: 2024-12-09T12:16:22.141Z (about 1 month ago)
• Topics: android, cancer-detection, kotlin, tensorflow-lite
• Language: Kotlin
• Homepage:
• Size: 12.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cancer Detection App

A mobile application for detecting cancer using Machine Learning, developed as a submission for Dicoding. This app leverages TensorFlow Lite for real-time image classification and integrates additional features to enhance user experience and functionality.

---

## 🚀 **Features**

1. **Image Selection and Preview**

   - Users can upload images from their gallery, which are previewed within the app.

2. **Cancer Detection with TensorFlow Lite**

   - Utilizes a pre-trained TensorFlow Lite model to predict whether an image indicates cancer.

   - Provides a confidence score for the prediction.

3. **Prediction Results**

   - Displays:

     - Diagnosis: Indicates whether the image suggests cancer or not.

     - Confidence Score: A numeric value representing the model's prediction accuracy.

   - Handles errors gracefully with appropriate messages.

4. **Health News Integration**

   - Fetches and displays relevant health news articles, including those about cancer, using the [NewsAPI](https://newsapi.org/).

5. **Enhanced Usability**

   - Features for cropping and rotating images (powered by uCrop) to ensure better results during analysis.

   - Saves prediction history locally, including images, results, and confidence scores, for user reference.

---

## ⚙️ **Getting Started**

### Prerequisites

- Android Studio

- A valid API key for [NewsAPI](https://newsapi.org/)

### Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/whdhdyt21/Cancer-Detection.git

   ```

2. Configure the `local.properties` file in your project root to include the API base URL and your API key:

   ```properties

   BASE_URL=https://newsapi.org/

   NEWS_API_KEY=[YOUR-API-KEY]

   ```

3. Open the project in Android Studio and build the app.

4. Run the app on your emulator or physical device.

---

## 🛠️ **Technologies Used**

- **Programming Language**: Kotlin

- **Machine Learning**: TensorFlow Lite

- **API Integration**: NewsAPI

- **Local Database**: Room/Realm

- **Libraries**:

  - uCrop: For image cropping and rotation

  - Retrofit: For API calls

  - Glide: For image loading and display

---

## 📜 **License**

This project is licensed under the MIT License. See the LICENSE file for details.

---

Thank you for exploring the Cancer Detection App! For any issues or suggestions, feel free to open an issue or submit a pull request.

```