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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42822

Online Doctor Appointment using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42822

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42822

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

DRVB

Dr. Roshani V. Bhaskarwar

SG

Suraj Gaikar

CC

Chitralekha Chavan

SJ

Swarangi Jog

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Abstract

In today’s fast-paced world, accessing timely medical care can be challenging due to long wait times, scheduling difficulties, and a lack of proper guidance. The Doctor Appointment System addresses these issues by integrating AI and machine learning to create a more efficient and accessible healthcare experience. It ensures secure access with OTP-based authentication, preventing unauthorized logins. A machine learning-powered disease prediction model helps patients analyze symptoms and gain preliminary insights before consulting a doctor, while an AI-driven chatbot provides instant assistance, answering queries and guiding users through the appointment process. To enhance convenience, the system includes a Nearby Hospital Locator, allowing users to search for hospitals based on their city. An admin-controlled scheduling system manages appointments efficiently, enabling administrators to approve or reject requests based on doctor availability while maintaining a specialist patient limit to avoid overbooking. Additionally, a feedback system allows users to report issues and provide input for continuous improvements. By integrating secure authentication, AI-driven assistance, predictive analytics, and location-based hospital search, this system enhances accessibility, reduces waiting times, and ensures a smooth and organized appointment booking process for both patients and healthcare providers.

KEYWORDS

The Doctor Appointment System Patient Mod- ule Doctor Module Administrator Module Disease Classification Algorithm Machine Learning RASA Chatbot Appointment Management Doctor Recommendation.

Cite This Article

Dr. Roshani V. Bhaskarwar, Suraj Gaikar, Chitralekha Chavan, Swarangi Jog, "Online Doctor Appointment using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42822

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Publication Date

3/22/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

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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