JobSphere: An AI-Powered Multilingual Career Copilot for Government Employment Platforms
Srihari R, Adarsha B V, Mohammed Usman Hussain, Shweta Singh

TL;DR
JobSphere is an AI-powered, multilingual career assistant for government employment platforms that improves accessibility, reduces costs, and offers personalized job support through innovative features like voice interaction and resume parsing.
Contribution
The paper introduces JobSphere, a novel multilingual AI assistant for government employment services, utilizing RAG architecture, 4-bit quantization, and new features like voice interaction and embed-based recommendations.
Findings
Achieves 68% precision@10 in job recommendations
Reduces deployment costs by 89% using 4-bit quantization
Attains 94% factual accuracy and high user satisfaction
Abstract
Users of government employment websites commonly face engagement and accessibility challenges linked to navigational complexity, a dearth of language options, and a lack of personalized support. This paper introduces JobSphere, an AI-powered career assistant that is redefining the employment platform in Punjab called PGRKAM. JobSphere employs Retrieval-Augmented Generation (RAG) architecture, and it is multilingual, available in English, Hindi and Punjabi. JobSphere technique uses 4-bit quantization, allowing the platform to deploy on consumer-grade GPUs (i.e., NVIDIA RTX 3050 4GB), making the implementation 89% cheaper than that of cloud-based systems. Key innovations include voice-enabled interaction with the assistant, automated mock tests, resume parsing with skills recognition, and embed-based job recommendation that achieves a precision@10 score of 68%. An evaluation of…
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Taxonomy
TopicsICT in Developing Communities · Digital Accessibility for Disabilities · AI in Service Interactions
