Saathi is an innovative, web-based application designed to make skin disease detection accessible to all, especially focusing on individuals in rural areas. By utilizing cutting-edge Convolutional Neural Network (CNN) models, Saathi offers a powerful, easy-to-use platform for early detection of skin diseases. Our project was proudly selected for the National Regional Bootcamp hosted under the Google Solution Challenge, highlighting our commitment to leveraging technology for social good.
- Advanced Detection: Utilizes a state-of-the-art CNN model to accurately identify various skin diseases.
- User-Friendly Interface: Built with React.js, providing a seamless and intuitive experience for users.
- Robust Backend: Employs TensorFlow, Numpy, and Pandas for data analysis and model training, ensuring high reliability and performance.
- Accessibility: Designed to be accessible for users in rural areas, bridging the gap in healthcare access.
- Preventive Healthcare: Aids in early detection and prevention of skin diseases, promoting better health outcomes.
Before you begin, ensure you have the following installed:
- Python (3.6 or later)
- Node.js (12.x or later)
- Pip (20.0 or later)
- Clone the Saathi repository:
git clone https://github.com/yourusername/saathi.git- Install Python Dependencies
pip install -r requirements.txt- Install Node dependencies
cd frontend
npm install