The informal workforce is an essential component of the economy, and millions of workers still have to endure the inability to be seen, unproven skill recognition, and access to credible employment opportunities. Although the digital platforms made some efforts to fill the gaps in the job market, the majority of them do not take into account the specific issues of daily wage employees: low digital literacy, lack of trust, and disaggregated data on jobs. The present paper offers a more refined version of the Kamgar Connect platform, a worker-centric digital ecosystem, which extends beyond the simple job listing services. The solution suggested is based on profiling digitally (based on skills), an easy onboarding process, and mechanisms of building trust, including verified certificates and employer feedback. The platform focuses on accessibility, unlike traditional solutions, and can be used by the first-time digital users due to the intuitive interface and localized design. The paper also proposes a better job-matching strategy that contributes to a more efficient hiring process by matching the skills of the workers with the needs of the employer. The platform is also helpful in terms of awareness of the upskilling opportunities and insights into the market demand trends so that workers can make informed choices regarding their career. The findings reveal that an adeptly developed online intervention such as Kamgar Connect can go a long way in enhancing accessibility, transparency, and trust in the unorganized sector and employment opportunities. This study underscores the promise of inclusive technology in the shift of how informal labor markets are run and in enabling sustainable livelihood opportunities.

This paper is a theoretical model of Kamgar Connect platform, which would help solve the main issues of the informal labor market, including its invisibility, mistrust, and job matching effectiveness. The proposed system brings a more inclusive and transparent method to the process of matching workers with employment opportunities by introducing the structured representation of skills, a multi-criteria matching model, and a trust-based feedback mechanism. The combination of user-friendly design principles also makes it easy to access by people with low digital literacy. In general, the framework emphasizes the opportunities of digital solutions in changing informal labor markets and facilitating sustainable livelihood opportunities.

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