Paper Title
Medigen ML Based Healthcare Platform
Article Identifiers
Authors
Keywords
Abstract
Medigen is a comprehensive, modern healthcare platform designed to bridge the gap between patients and medical professionals by streamlining appointment management and integrating intelligent diagnostic support. The platform enables patients to conveniently book appointments—both online and offline—based on the real-time availability of doctors. Meanwhile, doctors can efficiently manage their consultation schedules, view upcoming appointments, and maintain a smoother workflow. This dual functionality ensures a seamless interaction between patients and healthcare providers, improving the overall efficiency and accessibility of medical services. In addition to appointment scheduling, Medigen enhances its functionality through the integration of advanced machine learning (ML) technologies. It features two specialized ML models aimed at supporting early-stage diagnosis and health risk prediction. The first model focuses on skin disease detection and is integrated from Hugging Face, a widely used repository of pre-trained ML models. It allows patients to upload images of skin conditions, which are then analyzed to predict the most probable skin disease. This feature provides users with immediate, AI-powered insights, helping them take timely steps toward treatment or consultation.The second model is a custom-trained multiple disease prediction system that takes patient-reported symptoms as input and outputs the most likely disease conditions. This model expands the diagnostic capabilities of the platform beyond dermatology, offering broader support for preliminary health assessments. Both models aim to make healthcare more proactive by enabling early detection, reducing diagnostic delays, and increasing patient awareness.Medigen’s design emphasizes a user-friendly experience, combining intelligent predictions with flexible appointment options and support for remote access. By making healthcare services more data-driven and personalized, the platform empowers users with better control over their health while supporting doctors in making more informed decisions. Medigen stands as a scalable, accessible, and AI-enhanced healthcare solution tailored to meet the growing demands of modern digital health ecosystems.
Downloads
How To Cite (APA)
Abdul Basit Solkar, Samruddhi Kamble, Vaishnavi Angaj, Janhavi Tondekar, & Rajkumar . B. Pawar (April-2025). Medigen ML Based Healthcare Platform. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), e376-e381. https://ijnrd.org/papers/IJNRD2504450.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : e376-e381
Other Publication Details
Paper Reg. ID: IJNRD_305507
Published Paper Id: IJNRD2504450
Downloads: 000121981
Research Area: Humanities All
Author Type: Indian Author
Country: Khed, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504450.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504450
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.
For more details, refer to the official notice: UGC Public Notice
Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: November 2025
Current Issue: Volume 10 | Issue 11 | November 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 30-Nov-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
Approval, Licenses and Indexing: More Details
:
