{"id":46468770,"url":"https://github.com/ayusrjn/tonguecare","last_synced_at":"2026-03-06T06:00:11.538Z","repository":{"id":223721329,"uuid":"761346728","full_name":"ayusrjn/tonguecare","owner":"ayusrjn","description":"Analyzes high resolution tongue images through your smartphone. Empower your health journey with our groundbreaking app leveraging TensorFlow for instant tongue disease diagnostics. 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Using machine learning, our model ensures early detection, contributing to proactive health management. Seeking investment to optimize the model, expand the dataset, and deploy a user-friendly solution. With market potential driven by smartphone ubiquity, we aim to revolutionize healthcare diagnostics. Join us in making early healthcare intervention a reality.\n\n![TongueCare](https://github.com/ayushraanjan/tonguecare/blob/c528e0183eb6e2b81e35aa4e6424cddd3545b8dd/Tongue%20Care.png)\n![Landing Page](https://github.com/ayushraanjan/tonguecare/blob/082896215be61debd7bcb86de7f5575fdc751ca7/Screenshot%20from%202024-02-23%2011-23-06.png)\n\n\n## **Overview**\n\nThis project utilizes machine learning to predict tongue health based on images captured from your phone's camera. Using **TensorFlow.js**, the model is trained to classify tongues into categories such as healthy, thrashes, ulcer, visit (suggesting a visit to a healthcare professional), and could not predict. The application is deployed on **Firebase**, making it easily accessible for users.\n\n## **Features**\n\n- **Tongue Health Prediction**: Upload a picture of your tongue, and the model will provide a prediction regarding its health status.\n- **Multiple Classes**: The model can classify tongues into different classes such as healthy, thrashes, ulcer, visit, or indicate if it could not make a prediction.\n- **Firebase Deployment**: The application is hosted on Firebase, ensuring easy access for users through a web-based interface.\n- **TensorFlow.js Integration**: The project leverages the TensorFlow.js library, allowing for machine learning model inference directly in the browser.\n\n## **Getting Started**\n\n### **Prerequisites**\n\n- Ensure you have a modern web browser that supports the necessary web technologies for TensorFlow.js.\n\n### **Usage**\n\n1. Visit the deployed application on Firebase: [TongueCare](https://tonguecare-a0c2b.web.app/)\n2. Allow camera access when prompted.\n3. Capture an image of your tongue.\n4. Wait for the model to process the image and display the predicted health status.\n\n### **Local Development**\n.\n|-- public/\n|   |-- index.html        # Main HTML file\n|   |-- assets/\n|       |-- images/       # Image assets\n|       |-- styles/       # CSS stylesheets\n|-- tensorflow_model/     # TensorFlow model files\n|-- README.md             # Project README\n\n\nIf you wish to run the project locally:\n\n1. Clone this GitHub repository:  \n    bash\n\n        git clone \u003chttps://github.com/ayushraanjan/tonguecare.git\u003e\n\nNavigate to the project directory:  \nbash\n\n      cd tonguecare\n\n - Open the index.html file in your web browser.\n - Allow camera access when prompted.\n - Capture an image of your tongue.\n - The model will process the image locally and display the predicted health status.\n## Test Dataset\nModel has been tested on this dataset producing 82% accurate result\n![Model has been tested on this dataset producing 82% accurate result](https://github.com/ayushraanjan/tonguecare/blob/8846c196a0c03ce88b91281efd89ffa678316d33/Screenshot%20from%202024-02-23%2012-14-05.png)\n\n    Sensitive Image Alert: The upcoming content contains images of the tongue that may be distressing for some individuals.\n\n - [Healthy Test Samples](https://drive.google.com/drive/folders/122FqAQG8BNkEcaCB-IdZxFiTAroG5JoV?usp=drive_link)\n - [Unhealthy Test Image Samples](https://drive.google.com/drive/folders/17JsPipGk8XeRR-2_ZiUFj3i2Zpt8cf74?usp=sharing)\n\n## **Authors**\n\n - [Prakriti](https://github.com/Nature110625)\n - [Anshu Malini](https://github.com/anshumalinii)\n - [Sivam Kumar](https://github.com/codysivam)\n - [Ayush Ranjan](https://github.com/ayushraanjan)\n\n\n## **License**\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## **Acknowledgments**\n\n- Thanks to the TensorFlow.js team for providing a powerful library for machine learning in the browser.\n- Special thanks to the contributors and users who provide valuable feedback to improve the project.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayusrjn%2Ftonguecare","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fayusrjn%2Ftonguecare","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayusrjn%2Ftonguecare/lists"}