IT, Engineering & Master of AI Capstone Showcase 2026

IT, Engineering & Master of AI Capstone Showcase 2026

  • 17/09/2026
  • 09:30am - 03:00pm
  • RMIT University Vietnam - Saigon South and Hanoi campus
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About the event

TheIT, Engineering and Master of AI Capstone Showcase is a staple showcase bringing together the Computing Technologies and Engineering undergraduate and postgraduate students to present the outcomes of their capstone projects.

This year, more than 45 projectswill be showcased, highlighting innovative solutions to real-world industry challenges and the progress teams have made throughout their six-month project journey. Parents are warmly welcomed to join us, meet the students and explore the ideas, technologies and solutions they have developed. 

A look back on our IT & Engineering Capstone Showcase 2025

Why attend

  • Discover cutting-edge student innovations designed for real-world impact 
  • Engage with industry collaborators and academic leaders 
  • Cast your on-site vote for your favorite project 
  • Celebrate the achievements of the next generation of innovators 

Detailed event time and venue

Hanoi campus

Time Program
9:30am–10am  Guest welcome and registration 
10am–10:55am  Capstone showcase and judging - explore student projects and hear from the teams 
10:55am– 11am  People’s Choice Award voting - have your say and vote for your favourite project 
11am–11:15am  Tea break and networking 
11:15am–11:20am  Welcome and appreciation - capstone project 2026 recap and recognition of our industry partners and academic supervisors 
11:20am–12pm  Capstone awards ceremony (for invited guests only) 

Saigon South campus

Time Program
9:30am–10am  Guest welcome and registration 

10am–11:30am 

  • Capstone showcase and judging - explore student projects and hear from the teams 
  • People’s Choice Award voting
1:30pm–3pm  Capstone awards ceremony (for invited guests only) 

Key areas of capstone projects

Artificial Intelligence and Generative AI 

  • Developing intelligent agents, LLM-powered solutions, AI platforms and decision-support systems. 

Software and Digital Solutions 

  • Creating web and mobile applications, digital platforms, workflow systems and customer-focused solutions. 

Robotics and Autonomous Systems 

  • Designing autonomous robots, AGVs and intelligent navigation systems for industrial and agricultural applications. 

IoT and Smart Systems 

  • Connecting sensors, devices and data analytics to create smarter and more responsive systems. 

Industry 4.0 and Smart Manufacturing 

  • Applying automation, machine vision, PLCs, industrial IoT and intelligent monitoring to modern manufacturing. 

Digital Twins and Simulation 

  • Using digital twin technologies to model, monitor and optimise physical systems and operations. 

Semiconductor and Electronics Engineering 

  • Exploring analogue, mixed-signal and wireless technologies for next-generation communication and electronic systems. 

Healthcare and Wellbeing Technology 

  • Applying AI and digital technologies to clinical decision support, medical imaging, patient support and preventive health. 

Cybersecurity and Secure Systems 

  • Developing solutions that strengthen security, connectivity, document management and software testing. 

Smart Agriculture and Sustainability 

  • Combining robotics, IoT and AI to support agricultural monitoring, crop management and sustainable operations. 

Financial and Business Technology 

  • Building intelligent solutions for wealth management, expense management, lead generation and sales enablement. 

Assistive and Human-Centred Technology 

  • Designing technology-driven solutions that improve accessibility, usability and everyday experiences. 

In close collaboration with industry partners

With support, guidance and real-world insights from our industry partners, this year’s Capstone projects give students the opportunity to engage with authentic industry challenges and translate their academic knowledge into practical, industry-relevant solutions. 

Our industry partners

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