Full Stack Application for Automated Expanse Calculator and Reimbursement System Using Deep Learning

J. Raja, Manigandan K.

2025

Abstract

The Representative Repayment Module is a significant part in corporate monetary administration, smoothing out the most common way of repaying workers for personal costs caused during business exercises. A cost guarantee, at its center, is a proper solicitation presented by a person to the organization or association, looking for repayment for different uses, for example, travel, feasts, convenience, transportation, office supplies, and other fundamental expenses. This component turns out to be especially fundamental in organizations where workers need direct admittance to corporate assets. In this cycle, representatives at first cover costs utilizing individual Visas or money and consequently submit nitty gritty cost guarantee structures for survey. The work process includes a two-level confirmation process, beginning with the chief who examines the exactness and authenticity of the representative's cost subtleties. Following this, the regulatory group directs an optional confirmation, guaranteeing the legitimacy of the chief's endorsement. This efficient methodology guarantees monetary straightforwardness as well as works with a consistent and responsible repayment process inside the association, adding to successful monetary administration and worker fulfillment.

Paper Citation

in Harvard Style

Raja J. and K. M. (2025). Full Stack Application for Automated Expanse Calculator and Reimbursement System Using Deep Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 817-821. DOI: 10.5220/0013906200004919

in Bibtex Style

@conference{icrdicct`2525,
author={J. Raja and Manigandan K.},
title={Full Stack Application for Automated Expanse Calculator and Reimbursement System Using Deep Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={817-821},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013906200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Full Stack Application for Automated Expanse Calculator and Reimbursement System Using Deep Learning
SN - 978-989-758-777-1
AU - Raja J.
AU - K. M.
PY - 2025
SP - 817
EP - 821
DO - 10.5220/0013906200004919
PB - SciTePress