LOCOWORKS Smart hiring platform for skilled workers
Abstract
Finding reliable and skilled professionals for household services such as plumbing, electrical work, and repairs can often be a time-consuming and frustrating process. LOCOWORKS - digital platform developed to address these challenges by connecting users with qualified service providers in a seamless, efficient manner. The platform supports three primary user roles: Admin, User, and Worker. Users can register on the platform, browse available professionals, and hire workers based on factors such as skills, availability, ratings, and proximity. Workers, on the other hand, receive job requests that they can accept or decline, with their availability updated in real-time. To ensure trust and service quality, the platform includes a comprehensive rating and review system that allows users to rate the workers after job completion. This feedback system helps future users make informed decisions and promotes accountability among service providers. Additionally, the platform features a built-in messaging system that enables direct communication between users and workers, improving coordination and job efficiency. A key innovation of LOCOWORKS is its integration of real-time worker availability tracking and automated job scheduling, which minimizes cancellations and improves job completion rates. The platform also ensures fairness by automatically distributing jobs based on the worker’s load, ensuring equitable opportunities for service providers. LOCOWORKS aims to simplify the process of hiring local professionals, providing a reliable, scalable, and user-friendly solution for both service providers and customers
Keywords:
Local Worker Hiring, Real-Time Availability, User Reviews, Service Marketplace Skilled TradesPublished
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Elana Martin, Feba Ann Joseph, Ajisha Elizabeth Abraham, Christia Sunny Thomas, MediConnect - Remote Patient Health Monitoring , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Alan K George, Arpita Mary Mathew, Asin Mary Jacob, Elizabeth Antony, Shiney Thomas, Lung Cancer Subtype Classification Using Deep Learning Models , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Alan K George, Arpita Mary Mathew, Asin Mary Jacob, Elizabeth Antony, Shiney Thomas, Classification of Lung Cancer Subtypes Using Deep Learning Model , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Anoop Joshy, Ajay Jacob Benny, Athul Sajeev, SD Anakha, FEEDO:AIoT based Automatic Fish Feeding System , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Elisabeth Thomas, Chris Joseph, Eva Mary Regi, Haby.S. Mathews, Irin Alex , PIMS: Public Issue Management System , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lis Jose , Achyuth P Murali, Christin Joseph Shaji, Christy Kunjumon Peter , Multiple Detection and Diagnosis of Skin Diseases using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amal Benny, Alwin Antony, Abin Tony, Amal Sabu, Ansamol , CITYLERT- A Web-Based Platform for Post-Disaster , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Shan Krishna, Seon Biju, Skaria Mathew, Shaun Mathew Vergis, Niya Joseph, AcadConnect: A Web-Based Student Networking Platform , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Khalid Hareef, Neenu, M N Sulthana , Nesmi Siddique, Number Plate Detection in Fog and Haze , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
