International Journal on Science and Technology

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AI-Powered Employment Platform for Low Income Workers

Author(s) Ms. Bushra Tarannum, Ms. Ryakam Lavanya
Country India
Abstract The low-income worker unemployment is a major problem due to the low access to job platforms and ineffective job-matching systems. This project is an AI-Based Employment System of Low-Income workers based on machine learning. This platform tries to match workers and employers according to the relevant skills rather than qualifications of the past. It provides employers and employees with different areas to log in and have a secure connection and custom features.
Employers are able to advertise job requirements which is the listing of essential skills and workers are able to enroll their skills, experiences and job preferences. This system employs machine learning to understand the skill patterns and align job requirements to that of the workers. It suggests appropriate workers to employer and applicable job trends to workers leading to less manual search as well as enhanced efficiency in hiring. The emphasis on skill-based labor position helps the platform to introduce a flexible work environment and promote the participation of more individuals in the economy. The aim of this platform is to automate the jobs market, reduce unemployment among the low-income groups, and achieve a platform that functions at scale and is flexible enough to meet the fluctuating labor market demands. On the whole, the system demonstrates that AI and ML need to be efficiently used to produce a significant employment ecosystem.
Keywords: AI Powered, Skill-based Job matching, Non- IT Workforce, Gig Economy, Unorganized Sector Employment, Digital Employment Platform
Keywords Employment Platform,Skill-Based Job Matching,Low-Income Workers,Non-IT Workforce,Job Recommendation System,Candidate-Job Matching
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-06-13
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