Financial planning application using MATLAB App Designer

This project introduces FinanceMLab, a financial planning application specifically tailored for Singaporeans and Permanent Residents (PRs). It utilizes the capabilities of MATLAB's App Designer. The application serves as an all-in-one pitstop for managing various financial aspects, includ...

Full description

Saved in:
Bibliographic Details
Main Author: Renganathan, Preethi
Other Authors: Ng Boon Poh
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177229
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-177229
record_format dspace
spelling sg-ntu-dr.10356-1772292024-05-31T15:44:01Z Financial planning application using MATLAB App Designer Renganathan, Preethi Ng Boon Poh School of Electrical and Electronic Engineering EBPNG@ntu.edu.sg Engineering This project introduces FinanceMLab, a financial planning application specifically tailored for Singaporeans and Permanent Residents (PRs). It utilizes the capabilities of MATLAB's App Designer. The application serves as an all-in-one pitstop for managing various financial aspects, including salaries, taxes, loans, Central Provident Fund (CPF) contributions, investments, and expense tracking. FinanceMLab simplifies usage by using dynamic calculators that draw on reputable government sources [1], [2]. This ensures precise and consolidated financial planning. The MATLAB modular architecture offers a user-friendly interface, responsive design, graphs, and visualization for financial decision-making. It addresses retirement adequacy concerns and Singapore's rising living costs [3], empowering users to confidently plan their finances, making it an effective tool for Singaporean financial planning. Bachelor's degree 2024-05-27T00:59:05Z 2024-05-27T00:59:05Z 2024 Final Year Project (FYP) Renganathan, P. (2024). Financial planning application using MATLAB App Designer. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177229 https://hdl.handle.net/10356/177229 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Renganathan, Preethi
Financial planning application using MATLAB App Designer
description This project introduces FinanceMLab, a financial planning application specifically tailored for Singaporeans and Permanent Residents (PRs). It utilizes the capabilities of MATLAB's App Designer. The application serves as an all-in-one pitstop for managing various financial aspects, including salaries, taxes, loans, Central Provident Fund (CPF) contributions, investments, and expense tracking. FinanceMLab simplifies usage by using dynamic calculators that draw on reputable government sources [1], [2]. This ensures precise and consolidated financial planning. The MATLAB modular architecture offers a user-friendly interface, responsive design, graphs, and visualization for financial decision-making. It addresses retirement adequacy concerns and Singapore's rising living costs [3], empowering users to confidently plan their finances, making it an effective tool for Singaporean financial planning.
author2 Ng Boon Poh
author_facet Ng Boon Poh
Renganathan, Preethi
format Final Year Project
author Renganathan, Preethi
author_sort Renganathan, Preethi
title Financial planning application using MATLAB App Designer
title_short Financial planning application using MATLAB App Designer
title_full Financial planning application using MATLAB App Designer
title_fullStr Financial planning application using MATLAB App Designer
title_full_unstemmed Financial planning application using MATLAB App Designer
title_sort financial planning application using matlab app designer
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177229
_version_ 1814047196302016512