IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v12y2025i3id962.html

Volunteer Connect: A Volunteer Coordination Platform with Chatbot Assistance via Retrieval-Augmented Generation

Author

Listed:
  • Saravana Kumar N
  • Danush S
  • Sudharsanan S R
  • Naveen Kumar G
  • Prasanth A

Abstract

Volunteer Connect is a web-based platform developed to enhance volunteer coordination and event management for non-profit organizations. The system offers tailored interfaces for both organizations and volunteers, ensuring a user-centric experience. Organizations can create events, utilize AI-powered auto-description for event postings, and notify volunteers via automated email alerts. Volunteers can register for events, track their participation, and interact with organizations and fellow volunteers through integrated real-time chat. Additionally, the platform features an AI-assisted chatbot that provides instant support and information, such as upcoming event details and participation tracking. Role-based access control ensures security and contextual experiences for different users. By addressing key challenges like inefficient communication, poor event visibility, and lack of engagement tools, Volunteer Connect improves the efficiency of community service coordination. This paper discusses the system’s architecture, key functionalities, challenges faced during development, and its potential impact on volunteerism.

Suggested Citation

  • Saravana Kumar N & Danush S & Sudharsanan S R & Naveen Kumar G & Prasanth A, 2025. "Volunteer Connect: A Volunteer Coordination Platform with Chatbot Assistance via Retrieval-Augmented Generation," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(3), pages 1362-1369, June.
  • Handle: RePEc:etm:ijsrst:v12:y2025:i3:id:962
    DOI: 10.32628/IJSRST25123157
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST25123157
    File Function: Abstract page
    Download Restriction: no

    File URL: https://ijsrst.com/home/article/download/IJSRST25123157/IJSRST25123157
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/IJSRST25123157?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:etm:ijsrst:v12:y2025:i3:id:962. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrst.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.