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https://github.com/rajarohan/meat
🥩 Meat An innovative app built with Java and XML in Android Studio, using CNN to analyze meat freshness through image detection. Simply upload a photo, and the app provides the freshness level and time since the meat was cut. Perfect for ensuring quality and safety! 🚀📱
https://github.com/rajarohan/meat
android-application android-studio java xml
Last synced: about 2 months ago
JSON representation
🥩 Meat An innovative app built with Java and XML in Android Studio, using CNN to analyze meat freshness through image detection. Simply upload a photo, and the app provides the freshness level and time since the meat was cut. Perfect for ensuring quality and safety! 🚀📱
- Host: GitHub
- URL: https://github.com/rajarohan/meat
- Owner: rajarohan
- Created: 2024-12-23T08:50:50.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2024-12-23T09:26:11.000Z (about 2 months ago)
- Last Synced: 2024-12-23T10:26:23.524Z (about 2 months ago)
- Topics: android-application, android-studio, java, xml
- Language: Java
- Homepage:
- Size: 3.06 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Meat Freshness Prediction App 🥩
A smart Android application that detects the freshness of meat using **Convolutional Neural Networks (CNNs)**. The app analyzes meat images to predict freshness and estimates the time elapsed since the meat was cut, providing an innovative solution for ensuring meat quality.
---
## 📖 Features
- **Freshness Detection**: Predicts the freshness of meat using advanced image analysis.
- **Time Estimation**: Estimates how long it has been since the meat was cut.
- **User-Friendly Interface**: Easy-to-use Android application.
- **Real-Time Analysis**: Results in seconds after capturing or uploading an image.
- **CNN-Based Model**: Accurate predictions using a custom-trained Convolutional Neural Network.
---
## 🛠️ Technologies Used
- **Android Studio**: Development platform.
- **Python**: For training the CNN model.
- **TensorFlow/Keras**: Deep Learning framework.
- **OpenCV**: Image preprocessing and enhancement.
---
## 📂 Dataset
- A custom dataset of meat images labeled with time elapsed since cutting.
- Images were preprocessed using techniques like resizing, normalization, and augmentation.
---
## 🚀 How It Works
1. **Capture or Upload**: Take a picture of the meat or upload an existing image.
2. **Image Preprocessing**: The app preprocesses the image for better analysis.
3. **CNN Prediction**: The trained model predicts the freshness level.
4. **Result Display**: The app shows:
- Time Since Cutting (in hours)
---
## 📱 Installation
1. Clone this repository:
```bash
git clone https://github.com/rajarohan/Meat.git
2. Open the project in **Android Studio**:
- Click on **File > Open** and select the folder where you cloned the repository.
3. Build the project:
- Wait for Android Studio to sync the project and resolve dependencies.
4. Run the app:
- Connect your Android device or use an emulator.
- Click on the **Run** button (green play icon) in Android Studio.
- The app will launch on your device or emulator.
5. Test the app:
- Capture or upload a meat image to see the time since cutting.
---
## 🌟 Future Enhancements
- Expand the dataset for greater accuracy.
- Add support for different meat types (e.g., chicken, fish).
- Incorporate multilingual support for global users.
- Deploy the model on the cloud for lightweight mobile operations.
---
## 🧑💻 Contributing
Contributions are welcome! Feel free to fork this repository, make changes, and submit a pull request.
---
## 📧 Contact
For questions or feedback, reach out to me at:
- **Email**: [email protected]
- **LinkedIn**: [LinkedIn](https://www.linkedin.com/in/rajarohan-reddy/)