Professor Valliappan Raman, Head of the Department of AI and Data Science at CIT, highlights the importance of the cross-disciplinary internship to the students.
“In an interconnected world, interdisciplinary collaboration is not just beneficial—it’s essential for shaping the next generation of impactful AI practitioners. Collaborating with professionals from fields like cultural heritage, healthcare, or design deepens their understanding of human-centred applications and ethical considerations. These experiences cultivate holistic thinkers who can innovate responsibly, interpret data meaningfully, and co-create solutions with broader societal impact,” he said.
The students worked with oral history transcripts provided by the Vietnamese Women’s Museum, applying AI and natural language processing to uncover key themes such as motherhood, wartime roles, economic struggles, crafts, and traditions.
They also analysed the museum’s social media performance, identifying what types of posts and hashtags connect most with online audiences.
Guided by academics from RMIT University in Vietnam and Australia, the Shanghai Jiao Tong University, CIT, as well as the Communications department of the Vietnamese Women’s Museum, the students turned data into insight. They developed visual charts, maps of trending topics, and recommendations to help the museum engage younger generations and organise their collections more effectively.