An AI-Assisted Voice employment platform for Improving Job Accessibility in Low-Digital-  Literacy workers

Author(s)	Yachin Verma, Prof. Swati Dronkar, Manthan Tighare, Pratham Potdar, Rishabh Prajapati, Aashish Choudhari
Country	India
Abstract	Semi-skilled and unskilled workers in urban India are facing difficulties in finding employmentbecause of low digital literacy and lack of text-based job portals. The problem finds its solution inthe proposed KaamKhojAI project Voice Assistive AI-based Job Portal System, aiming to make employment through voice-based systems more accessible for low-literacy individuals. An offlinesurvey was conducted on 550 workers in Nagpur city. The conclusion revealed that the availabilityof current job applications are low, but acceptance for voice-based systems is high. The proposedsystem not only focuses on ease of use but also emphasizes inclusivity, proving the efficiency ofthese systems in overcoming the gap of employment through digitalization.
Keywords	Voice-Based Job Portal, Employment Accessibility, Blue-Collar Workforce, AI Assistant, Job Recommendation, Trust Score
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-28
DOI	https://doi.org/10.63363/aijfr.2026.v07i03.5756

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