Design and Implementation of a Web-Based Artisan Finding System

Abstract— Many industries has been transformed with the rapid growth observed with the usage of digital technologies and AI; however, many skilled artisans in Africa and developing nations still behind due to limited access to internet and digital presence. In this study, the researcher design and implement a web-based artisan finding system that aims to connect artisans with potential clients within a digital marketplace. This system allows users to browse and locate artisans by location and service categories, in the same vein it allows artisans to register, display their services, manage bookings, and receive customer feedback. Furthermore, this system incorporates other features like geo-location search, user authentication, profile management, booking functionality, and a client review mechanisms. The system was developed using technologies like React.js, Tailwind CSS for the front-end, while Node.js, MongoDB technologies were used for the back-end logic, and data storage respectively, the system adopts an agile development methodology to ensure iterative improvement based on user feedback. This system offers a simple user interface for easy accessibility and scalability, so as to empowers artisans to manage their potential clients Index Terms— Artisan Finder, Digital Marketplace, Informal Economy, Location-Based Search, Web Application.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17177249
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of a Web-Based Artisan Finding System

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Design and Implementation of a Web-Based Artisan Finding System

article en

Abstract

Abstract— Many industries has been transformed with the rapid growth observed with the usage of digital technologies and AI; however, many skilled artisans in Africa and developing nations still behind due to limited access to internet and digital presence. In this study, the researcher design and implement a web-based artisan finding system that aims to connect artisans with potential clients within a digital marketplace. This system allows users to browse and locate artisans by location and service categories, in the same vein it allows artisans to register, display their services, manage bookings, and receive customer feedback. Furthermore, this system incorporates other features like geo-location search, user authentication, profile management, booking functionality, and a client review mechanisms. The system was developed using technologies like React.js, Tailwind CSS for the front-end, while Node.js, MongoDB technologies were used for the back-end logic, and data storage respectively, the system adopts an agile development methodology to ensure iterative improvement based on user feedback. This system offers a simple user interface for easy accessibility and scalability, so as to empowers artisans to manage their potential clients Index Terms— Artisan Finder, Digital Marketplace, Informal Economy, Location-Based Search, Web Application.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 31%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and Implementation of a Web-Based Artisan Finding System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS