SKINSMART MOBILE APPLICATION FOR SKIN DISEASE DETECTION

Project Code :TCMAAN1146

Objective

The objective of this project is to develop a mobile application using Android XML and Kotlin for efficient management of skin diseases. The application aims to provide early detection through image recognition, streamline appointment scheduling, and facilitate easy access to specialized healthcare services. By enhancing user experience with a user-friendly interface and robust backend functionality, the project seeks to improve overall healthcare delivery and patient outcomes in the management of skin conditions.

Abstract

This project entails the development of a mobile application for skin disease detection and management, utilizing Android XML for frontend design and Kotlin for backend functionality. The application is structured to serve three primary user roles: Admin, Hospitals, and Users, each with distinct capabilities. For the Admin, the application provides secure login, functionalities to add and manage hospital details, and view registered users, ensuring efficient oversight and administration of the system. Hospitals can log in to their dedicated interface to view patient appointments, facilitating streamlined appointment management and patient care. Users, the core beneficiaries, can log in to access various features aimed at improving skin health management. The application enables users to scan and detect skin diseases using advanced image recognition technology. Additionally, users can view nearby hospitals, add appointments with dermatologists, and maintain a history of their medical consultations and treatments. This feature-rich application ensures a seamless and integrated experience for managing skin health, from initial diagnosis to ongoing care. Overall, this mobile application aims to provide a comprehensive solution for skin disease management, leveraging the robustness of Kotlin for backend processes and the flexibility of Android XML for an intuitive user interface.

KEYWORDS: Mobile application, Android.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Specifications

H/W CONFIGURATION:

  • Processor                        -    I3/Intel Processor
  • RAM                              -    8 GB
  • Hard Disk                      -    1TB

S/W CONFIGURATION:

  • Operating System                   -   Windows 10          
  • JDK                                         - java
  • Plugin                                     - Kotlin
  • SDK                                        - Android
  • IDE                                         - Android studio
  • Database`                                - server, my sql

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