Project Abstract

Abstract
Skin cancer is a prevalent and potentially life-threatening disease affecting millions of individuals worldwide. Early detection and monitoring of skin lesions are crucial for timely diagnosis and treatment. This research project focuses on the development of a mobile application specifically designed for skin cancer detection and monitoring. The mobile application utilizes advanced image processing algorithms and artificial intelligence technology to analyze images of skin lesions captured by smartphone cameras. The primary objective of this research is to create a user-friendly and accurate mobile application that can assist individuals in performing self-assessment of suspicious skin lesions. The application aims to provide real-time feedback on the likelihood of skin cancer based on the analysis of lesion characteristics such as size, shape, color, and texture. Additionally, the mobile application will feature a monitoring system that allows users to track changes in their skin lesions over time, providing valuable data for healthcare professionals. The research project begins with a comprehensive literature review of existing technologies and methodologies related to skin cancer detection and monitoring. This review will examine the strengths and limitations of current approaches and identify gaps in the literature that the proposed mobile application aims to address. The research methodology involves the design and development of the mobile application, including the selection and implementation of image processing algorithms and machine learning models. User interface design and usability testing will be conducted to ensure the application is intuitive and accessible to a wide range of users. The findings of this research project will be discussed in detail in Chapter Four, highlighting the performance and accuracy of the developed mobile application in detecting and monitoring skin lesions. The discussion will also address potential challenges and limitations encountered during the development process and suggest areas for future research and improvement. In conclusion, the development of a mobile application for skin cancer detection and monitoring has the potential to revolutionize the way individuals engage with their skin health. By empowering users to perform self-assessment and track changes in their skin lesions, the mobile application can facilitate early detection of skin cancer and improve outcomes for individuals at risk. This research contributes to the advancement of technology in dermatology and underscores the importance of leveraging mobile platforms for healthcare innovation.

Project Overview

The project "Development of a Mobile Application for Skin Cancer Detection and Monitoring" aims to address the critical need for early detection and monitoring of skin cancer through the utilization of mobile technology. Skin cancer is one of the most common types of cancer worldwide, and its incidence continues to rise. Early detection is crucial for successful treatment outcomes, yet many cases are diagnosed at advanced stages, leading to poor prognosis. The proposed mobile application will leverage advanced imaging and machine learning algorithms to enable users to conduct self-assessment of suspicious skin lesions in a convenient and accessible manner. By empowering individuals to monitor changes in their skin over time and receive timely feedback on potential concerns, the application seeks to improve early detection rates and facilitate proactive management of skin health. Key features of the mobile application will include image capture functionality, automated lesion analysis, risk assessment based on established criteria, personalized recommendations for further evaluation or monitoring, and educational resources on skin cancer prevention and self-examination. The application will prioritize user-friendly design, data privacy and security, and integration with healthcare providers for seamless continuity of care. Through this research project, we aim to develop a comprehensive and user-centric mobile application that harnesses the power of technology to enhance skin cancer detection and monitoring. By combining medical expertise with cutting-edge digital tools, we seek to empower individuals to take control of their skin health, reduce diagnostic delays, and ultimately improve outcomes for patients with skin cancer.