Diagnosis and Prediction of Skin Diseases Using Deep Learning for Rural Healthcare

The most prevalent kind of sickness that affects people worldwide is a skin condition. Those who live in remote places find it impractical because traditional technology necessitates numerous tests to identify a certain ailment. Rapid and precise diagnosis of skin diseases is now achievable because of advancements in medical technology. However, the expense of this type of diagnosis is high and limited. So, to diagnose and predict disease, we have combined image processing and deep learning techniques. Our initiative in this research aims to enable early disease diagnosis using a person's smartphone. The system is expected to give higher precision and quicker outcomes than conventional techniques, making it a useful and reliable instrument for the diagnosis and analysis of dermatological diseases.