Project Abstract

**Abstract
** Skin cancer is a significant public health concern worldwide, with early detection playing a crucial role in improving patient outcomes. The advancement of technology, particularly in smartphone applications, offers a promising avenue for facilitating skin cancer detection and monitoring. This research project aims to develop a smartphone application specifically designed for skin cancer detection and monitoring to enhance early diagnosis and management. The proposed smartphone application will utilize image processing algorithms and artificial intelligence to analyze skin lesions and provide users with real-time feedback on the likelihood of malignancy. By leveraging the capabilities of smartphones, this application seeks to empower individuals to perform self-screening for skin cancer in a convenient and accessible manner. The research will begin with a comprehensive review of existing literature on skin cancer detection methods, smartphone applications in healthcare, and artificial intelligence in dermatology. This review will provide a theoretical foundation for the development of the smartphone application and guide the selection of appropriate methodologies and technologies. The research methodology will involve the design and development of the smartphone application, incorporating image processing techniques and machine learning algorithms for skin lesion analysis. The application will undergo rigorous testing and validation processes to ensure its accuracy and reliability in detecting potential skin cancer lesions. The findings from the research will be presented and discussed in Chapter Four, highlighting the effectiveness and usability of the developed smartphone application. The discussion will also address any challenges encountered during the development process and propose recommendations for future enhancements and studies. In conclusion, the development of a smartphone application for skin cancer detection and monitoring holds great promise in revolutionizing the field of dermatology and improving early diagnosis rates. By empowering individuals with the means to monitor their skin health proactively, this research project contributes to the advancement of personalized healthcare and the fight against skin cancer. Keywords skin cancer, smartphone application, image processing, artificial intelligence, early detection, dermatology, healthcare, self-screening.

Project Overview