Migrant Workers Assistant and Tracking System

Migrant workers often move from place to place in search of work, facing issues like job insecurity, disjointed work history, and identity verification problems. These issues generally lead to trouble finding jobs, improper documentation, and heightened exposure to employment scams. The Migrant Labour Assistance and Tracking System presents a strong digital solution that utilizes geolocation-based job matching, employer verification, and secure tracking of employment history. The platform utilizes React.js for an easy-to-use frontend interface and Spring Boot for a secure backend infrastructure, allowing smooth data management and access. Major features involve auto-suggested jobs according to skills and location, electronic authentication of employment documents, and real-time monitoring of worker credentials. The suggested model promotes greater transparency in the hiring process, less fraudulent claims of employment, and enhanced workforce management through organized data analysis. Experimental tests prove its ability to enhance employment security, increase labor mobility, and maximize the distribution of employment resources. By combining AI-based employment verification with a central database, the system has the goal of empowering migrant workers, making jobs accessible, and enhancing economic stability by decreasing the administrative load for employers. The use of this technology can greatly improve workforce transparency, decrease job risks, and lead towards a more organized labor system.