Turning Volunteer Work into Measurable Impact with ASAI-ASA
Volunteering plays an important role in connecting people with social causes, but it can be difficult for volunteers to find the right opportunities, track their contribution, and show the impact of their work over time.
Social organizations also need better ways to engage participants and communicate the value of each project.
At CMKL University, a team of M.S. in TCI students developed ASAI-ASA, an AI-powered platform designed to connect volunteers with meaningful social projects and make social impact more visible.
The platform uses AI-powered SDG badges, impact tracking, and gamified features to help users build a volunteer profile over time. As participants join projects, complete activities, and contribute to social causes, ASAI-ASA helps translate those actions into recognizable indicators of impact.
The project combines social innovation with interaction design. Rather than treating volunteering as a one-time activity, ASAI-ASA encourages users to see their contributions as part of a growing personal journey. Gamification and rewards are used not simply to motivate participation, but to help users understand how their actions connect to broader social goals.
For organizations, the platform can support clearer communication around project participation, volunteer engagement, and measurable contribution. For students, the project demonstrates how AI can be applied beyond automation and analytics, serving as a tool to encourage civic participation and sustainable impact.
At CMKL, ASAI-ASA reflects the university’s commitment to building AI systems that respond to real human and social needs, especially through graduate projects that combine technology, design, and purpose-driven innovation.
Student members: Pompam Tomanit, Putsawan Tipsakorn, Sukhum Butrkam, and Jakkrit Yompayorm, M.S. in TCI
Advisor: Lorenzo
Category: AI for Social Impact / Creative Technology
Tags: Social Impact, Volunteer Platform, SDGs, Gamification, AI for Good, Graduate Project
Understanding how people respond to visual content is a major challenge in marketing, design, media, and experience development. Traditional feedback methods such as surveys and interviews can capture what people say, but they may not fully reveal immediate cognitive or emotional reactions.
Read more
Brain-computer interfaces are opening new possibilities for how people interact with machines. By translating neural signals into digital commands, BCI systems can enable hands-free control of devices, virtual environments, and assistive technologies.
Read more
Enterprise systems generate large volumes of authentication and access-control data every day. Within Active Directory environments, these logs can contain early signals of cyber threats such as abnormal login patterns, brute-force attempts, and privilege escalation. However, traditional rule-based monitoring often struggles to detect subtle or previously unseen behavior.
Read more