{"id":23499636,"url":"https://github.com/rajarohan/meat","last_synced_at":"2026-05-02T06:33:08.138Z","repository":{"id":269401512,"uuid":"907288160","full_name":"rajarohan/Meat","owner":"rajarohan","description":"🥩 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! 🚀📱","archived":false,"fork":false,"pushed_at":"2024-12-23T09:26:11.000Z","size":3212,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-23T19:14:05.694Z","etag":null,"topics":["android-application","android-studio","java","xml"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rajarohan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-23T08:50:50.000Z","updated_at":"2024-12-23T10:11:39.000Z","dependencies_parsed_at":"2024-12-23T10:36:39.223Z","dependency_job_id":null,"html_url":"https://github.com/rajarohan/Meat","commit_stats":null,"previous_names":["rajarohan/meat"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajarohan%2FMeat","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajarohan%2FMeat/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajarohan%2FMeat/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajarohan%2FMeat/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rajarohan","download_url":"https://codeload.github.com/rajarohan/Meat/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250496991,"owners_count":21440231,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["android-application","android-studio","java","xml"],"created_at":"2024-12-25T06:18:04.171Z","updated_at":"2026-05-02T06:33:08.077Z","avatar_url":"https://github.com/rajarohan.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Meat Freshness Prediction App 🥩\n\nA 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.\n\n---\n\n## 📖 Features\n\n- **Freshness Detection**: Predicts the freshness of meat using advanced image analysis.\n- **Time Estimation**: Estimates how long it has been since the meat was cut.\n- **User-Friendly Interface**: Easy-to-use Android application.\n- **Real-Time Analysis**: Results in seconds after capturing or uploading an image.\n- **CNN-Based Model**: Accurate predictions using a custom-trained Convolutional Neural Network.\n\n---\n\n## 🛠️ Technologies Used\n\n- **Android Studio**: Development platform.\n- **Python**: For training the CNN model.\n- **TensorFlow/Keras**: Deep Learning framework.\n- **OpenCV**: Image preprocessing and enhancement.\n\n---\n\n## 📂 Dataset\n\n- A custom dataset of meat images labeled with time elapsed since cutting.\n- Images were preprocessed using techniques like resizing, normalization, and augmentation.\n\n---\n\n## 🚀 How It Works\n\n1. **Capture or Upload**: Take a picture of the meat or upload an existing image.\n2. **Image Preprocessing**: The app preprocesses the image for better analysis.\n3. **CNN Prediction**: The trained model predicts the freshness level.\n4. **Result Display**: The app shows:\n   - Time Since Cutting (in hours)\n\n---\n\n## 📱 Installation\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/rajarohan/Meat.git\n\n2. Open the project in **Android Studio**:\n   - Click on **File \u003e Open** and select the folder where you cloned the repository.\n\n3. Build the project:\n   - Wait for Android Studio to sync the project and resolve dependencies.\n\n4. Run the app:\n   - Connect your Android device or use an emulator.\n   - Click on the **Run** button (green play icon) in Android Studio.\n   - The app will launch on your device or emulator.\n\n5. Test the app:\n   - Capture or upload a meat image to see the time since cutting.\n  \n---\n\n## 🌟 Future Enhancements\n\n- Expand the dataset for greater accuracy.\n- Add support for different meat types (e.g., chicken, fish).\n- Incorporate multilingual support for global users.\n- Deploy the model on the cloud for lightweight mobile operations.\n\n---\n\n## 🧑‍💻 Contributing\n\nContributions are welcome! Feel free to fork this repository, make changes, and submit a pull request.\n\n---\n\n## 📧 Contact\n\nFor questions or feedback, reach out to me at:\n- **Email**: rajarohanreddy529@gmail.com\n- **LinkedIn**: [LinkedIn](https://www.linkedin.com/in/rajarohan-reddy/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajarohan%2Fmeat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frajarohan%2Fmeat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajarohan%2Fmeat/lists"}