AI-Powered: Diagnosis and Detection of skin cancer and Dermatological Diseases

Skin cancer has become one of the most rapidly increasing and life-threatening diseases worldwide, appearing mainly as melanoma, basal cell carcinoma, and squamous cell carcinoma. Among these, melanoma is the most aggressive due to its high tendency to spread if not detected early. Early and accurate diagnosis greatly improves treatment outcomes, yet manual diagnosis is time-consuming and prone to human error. To overcome these challenges, this paper presents a computer-aided system for early skin cancer detection using image processing and deep learning techniques. The proposed system processes skin lesion images through pre-processing, segmentation, and classification using Convolutional Neural Networks (CNN). Besides cancer detection, such methods can also assist in identifying other dermatological conditions like eczema, psoriasis, and acne. A chatbot is integrated to provide users with instant support, symptom information, and guidance, making the platform efficient, interactive, and accessible for early diagnosis and patient awareness. . ·