Socioconnect: A Unified Platform for Community Empowerment and Innovation
DOI:
https://doi.org/10.47392/IRJAEH.2026.0379Keywords:
Digital Community Platform, Civic Engagement, Social Innovation, Community Empowerment, Collective Action, Machine LearningAbstract
In today’s digital environment, many communities face difficulties in communication, collaboration, and coordination when dealing with social challenges such as fundraising, volunteering, idea sharing, and solving local problems. Although several platforms, such as social media, crowdfunding websites, and volunteer management tools, exist, they usually operate independently. Because of this separation, using different independent platforms often leads to information overload, reduced user engagement, and a limited practical impact. Research has shown that digital technologies can encourage civic participation, but there is still a lack of a unified platform that brings together collaboration, idea sharing, and action-driven activities. As a result of online participation, it does not easily translate into real social impact. To find this issue, this study proposes SocioConnect, a digital platform designed to support community empowerment and social innovation. The platform integrates different community functions into one system, allowing users to connect with others, start and manage social projects, organize events, raise funds, coordinate volunteers, and share ideas. In this phenomenon, the platform engagement is basically not dependent on the Online discussion. Thus, the people will be communicating through the goal-based action. The platform is developed using secure and scalable web technologies so that it can be easily used by different types of users. The experimental results show how a unified platform can improve collaboration among members, increase community participation, and support long-term social benefits. This research contributes to the field of digital community systems by presenting a framework that connects online participation with real-world social action. In addition, the system also includes a machine-learning-based component for monitoring urban cleanliness and helping citizens report and resolve local issues using crowdsourced and visual data.
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Copyright (c) 2026 International Research Journal on Advanced Engineering Hub (IRJAEH)

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