International Journal For Multidisciplinary Research

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Smart Employment Platform: An AI-Driven, Multilingual Employment

Author(s) Mr. HARISH M, Mr. Mohammed Kaif, Ms. Moulya N R, Ms. Poornima R H, Mr. Prasanna Kumar K
Country India
Abstract The shortage of easy and reliable avenues for jobs persists as a major problem for rural and urban blue-collar workers. Most job platforms target white-collar jobs, require some digital literacy, and offer limited options to establish mutual trust. For these reasons, we introduce the Smart Employment Platform-an intuitive job portal to support inclusive employment in rural and urban settings. The system presently supports five Indian languages, including English, Hindi, Kannada, Tamil, and Telugu. It is integrated with speech recognition and text-to-speech functionality through voice assistants to assist users with low or no literacy. PHP and MySQL are used at the back end, while Bootstrap is the responsive front-end framework; Python/Flask was chosen for smart job matching along with NLP processing. We have implemented a content-based filtering algorithm that recommends jobs to the job seeker based on his/her skills, location, and nature of job. The platform incorporates verification processes of employers, reporting misuse options, and a secure transaction model that helps build trust among users. Tests on the platform reveal higher than 90% accuracy in job matching and increased usability for first-time digital users through its multilingual interface and voice support. It is evident from the system architecture, algorithms, and implementation that the Smart Employment Platform offers an effective, accessible, and trustworthy solution for inclusive employment across various communities.
Keywords Employment Portal, Job Recommendation, Multilingual, Voice Assistant, Blue-Collar Workforce, PHP, Flask, AI, Accessibility.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62734
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