Project Abstract

Abstract
Skin cancer is one of the most prevalent types of cancer worldwide, with early detection being crucial for effective treatment and improved prognosis. In recent years, advancements in artificial intelligence (AI) have shown promise in aiding the early detection of skin cancer through automated analysis of dermatological images. This research project focuses on the development of a mobile application that utilizes AI technology for the detection of skin cancer lesions. The aim of this study is to design and implement a user-friendly mobile application that allows individuals to capture images of suspicious skin lesions and receive instant feedback on the likelihood of the lesion being malignant. By harnessing the power of AI algorithms, the application will analyze various features of the skin lesions, such as asymmetry, border irregularity, color variation, and diameter, to provide users with a risk assessment. Chapter One provides an introduction to the research project, outlining the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the research, and definition of key terms. Chapter Two presents a comprehensive literature review on the use of AI in dermatology, skin cancer detection techniques, existing mobile applications for skin lesion analysis, and the challenges and opportunities in this field. Chapter Three details the research methodology, including the selection of AI algorithms, dataset collection and preprocessing, application development process, and evaluation metrics. The methodology involves training the AI model on a dataset of skin lesion images annotated by dermatologists to ensure accuracy and reliability in cancer detection. Chapter Four presents the findings of the research, including the performance evaluation of the developed mobile application in detecting skin cancer lesions. The discussion covers the strengths and limitations of the application, comparison with existing methods, and potential areas for future improvement. In conclusion, this research project aims to contribute to the advancement of skin cancer detection by leveraging AI technology in a user-friendly mobile application. The proposed solution has the potential to assist individuals in early detection and prompt medical intervention, ultimately leading to improved outcomes for patients with skin cancer. The findings of this study will be valuable for healthcare professionals, researchers, and individuals seeking efficient and accessible tools for skin cancer screening.

Project Overview