BayaniJuan: A Prescriptive Community Engagement and Livelihood Management Application

Unemployment is an issue that affects communities, threatening economic stability, quality of life, and social well-being by reducing household income and increasing reliance on the social welfare system. One pressing challenge is the job-skills mismatch, which arises from a lack of clear guidance on upskilling and reskilling opportunities, coupled with widespread unawareness among individuals about the existence of community units that can assist in endorsing them to training institutions and referring them to job opportunities based on their skills and qualifications. This mismatch prevents workers from aligning their capabilities with market demands, leaving many unqualified for available roles, while employers struggle to find suitable candidates, thus perpetuating a cycle of unemployment. To address this issue, the researchers propose BayaniJuan, a comprehensive mobile and web application that integrates the management of employment and livelihood programs, facilitates seamless communication between residents and administrators, and promotes the skills and services of certified workers. Additionally, the platform will utilize prescriptive analytics to recommend training programs to specific demographics. By bridging the gap between job seekers and skill development resources, BayaniJuan will support community units in organizing data records, managing accounts, overseeing content related to training and job opportunities, and providing insights on which demographics to target for future training programs. Furthermore, it will create and enhance livelihood opportunities for its constituents through its implementation.