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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP9006

Patients Cases Similarity (Skin Smart App)

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP9006

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

1AKR

1Yarragudi Akshath Kumar Reddy

PUK

Perrisetty Uday Kiran

PAK

P Abhinay Kumar

PJ

P Jaswant

DPS

Dr. P Sudha

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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.

Cite This Article

1Yarragudi Akshath Kumar Reddy, Perrisetty Uday Kiran, P Abhinay Kumar, P Jaswant, Dr. P Sudha, "Patients Cases Similarity (Skin Smart App)," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025.

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Publication Date

3/31/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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