Early Dermatological Manifestations Detection by Multi Classification Skin Cancer Detection Depthwise Separation CNN Model

Our platform offers early-stage diagnosis of skin cancer, leveraging advanced visual assessments and deep learning technologies like DepthWise Separation CNN. Skin lesion variability challenges automated classification, which our solution addresses. By using techniques such as Gaussian filtering and fractal geometry, we accurately assess lesion borders from high-resolution images like those in the HAM10000 dataset. The system supports local languages, making it accessible to rural populations. Integration with the Bhashni API enables multi-language use. Additionally, the platform assists patients by sharing analyzed reports with doctors, facilitating appointments, and managing medical records efficiently. This holistic approach aims to enhance skin cancer detection and patient care.