| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 56 |
| Year of Publication: 2025 |
| Authors: Shah Farzeen Hossain, Md. Fokhray Hossain, Md. Asif Al Rumel, Md. Abdullah Abu Sayem, Mohammad Samir Hossain, Md. Al-Amin Hossen |
10.5120/ijca2025925987
|
Shah Farzeen Hossain, Md. Fokhray Hossain, Md. Asif Al Rumel, Md. Abdullah Abu Sayem, Mohammad Samir Hossain, Md. Al-Amin Hossen . Nexera: A Mobile Platform Integrating Instant On-Demand Services and AI-Driven Market Insights. International Journal of Computer Applications. 187, 56 ( Nov 2025), 55-60. DOI=10.5120/ijca2025925987
Smart job search systems and mobile applications have significantly improved access to employment opportunities, yet they remain largely constrained to conventional recruitment processes, graduate employability tools, and social networking-based professional systems, leaving a persistent gap between job seekers’ immediate needs for flexible, income-generating tasks and the dynamic requirements of local markets and emerging startups. This study introduces Nexera, a Java-based mobile application designed to provide instant service provision, micro-task employment, and grassroots-level purchase insights powered by AI. Unlike existing systems, Nexera integrates job search with real-time market intelligence, enabling users not only to earn through short-term tasks but also to access supplier data, gain entrepreneurial insights, and transition into sustainable business ownership. By connecting local economic actors with AI-driven insights, Nexera supports both regional micro-earning opportunities and instant access to on-demand workers across a region, supporting global entrepreneurial participation and local-to-global market integration. By combining instant gig opportunities, AI recommendations, and startup dashboards, Nexera contributes to both individual empowerment, local economic development, and the broader processes of globalization.