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
- Lis Jose, Polarity Classification of Malayalam Document-A Rule Based Approach , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof.Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Charukesh, Ethical Hacking using the Switch Port Analyser in a Enterprise Network , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Parvathy S Pillai, Pooja Rajeev, Sania Regi, Parvathy S Nair, Dr. Therese Yamuna Mahesh, Agi Joseph George, SMART TROLLEY: A MORE ENHANCED SHOPPING EXPERIENCE , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Badarunnisa T S, Albert Titto, Ajay C R, Vivek K R, Nandakumar M M, Sreehari N A, Ajildeep U P, Pinto Sabu, NOTE NEXUS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Adhil Salim, Advaith Manoj, Alan Thomas Shaji, The Future of Encryption in the Face of Advancing Quantum Computing Technology , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aron Thomas , Abhinav B Kannanthanam , Elzabeth Bobus , Adhil Salim , Elizabeth Jullu , R Neenu, A Hybrid SQL Query Execution Model for JSON Data: Balancing Resource Efficiency and Analytical Performance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Prinu Vinod Nair, Rohit Subash Nair, Samuel Thomas Mathew S, Ansamol Varghese, Weed detection using YOLOv3 and elimination using organic weedicides with Live feed on Web App , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
