Our sessions were expertly guided by Professor Patrick McSharry, whose career spans roles from research professor at Carnegie Mellon to adviser to the World Bank and Google Foundation. With deep ties to Oxford and the IEEE, Professor McSharry brought a powerful combination of academic rigor and practical insight. What truly distinguished his leadership was his rare ability to distill even the most complex topics to their essential core.

Throughout these four days, we addressed the pressing questions that every organization must contemplate when it comes to AI:

What, at its core, is artificial intelligence — and what misconceptions persist?

Where is AI making a tangible impact today, and how do you measure true value?

What are the foundational pillars: from data and tools to effective teams and sound governance?

In what ways do workflows, roles, and measurable outcomes transform as AI is introduced?

Which real-world case studies offer lessons on both success and pitfalls?

How can you scope an AI initiative that is not just impressive, but genuinely useful, ethical, and sustainable?

More than simply an “introduction” to AI, this program offered us a clear map for aligning bold ambitions with the constraints of the real world. Decision makers walked away with a framework to translate possibility into meaningful pilots.

Day 1

Our journey began on Monday, blending lectures with hands-on activities. Mornings were dedicated to defining and demystifying the capabilities and limitations of AI. In the afternoons, participants came together to engage in group discussions and practical exercises, translating theory into application.

Days 2 and 3

On Tuesday and Wednesday, we shifted into a more applied mode at SEAC, located in the FYI Center. The afternoon included a guided visit to a leading industrial site, sparking conversations about the practicalities of AI deployment. Questions about managing data quality, the realities of implementation, and the potential pitfalls of change management fueled lively exchanges.

Day 4

Our final morning at Silom Edge was devoted to open consultations, allowing participants to seek expert advice, share ideas, and map out next steps tailored to their own organizations.These sessions were followed by a thoughtful fireside chat with Dylan Powell, where the day’s insights were further unpacked. The evening concluded with a communal dinner and vibrant, informal discussions that deepened both learning and connections.

A Final Thanks and Next Steps

This transformative experience was made possible thanks to the expertise and generosity of Professor Patrick McSharry and Mr. Dylan Powell, as well as our welcoming hosts at SEAC and Silom Edge.

If you would like to keep the momentum going, share your use case, or explore a pilot project, please reach out to us at aiei@cmkl.ac.th . You can also visit aiei.tech or call 061–394–2500 to continue the conversation.

Story By Siraphop Mukdaphetcharat

AI Masterclass 2025 with Professor Patrick McSharry was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

Recently, we brought together Professor Justin Paulsen, Professor Akkarit Sangpetch, and Professor Charnon Pattiyanon for a panel focused on teaching competency and best practices. Their conversation highlighted exactly why CMKL is a place where instructors can stretch, grow, and truly make a difference for students facing an ever-evolving world.

Testimonials:

• “Clearer structures lead students confidently from the basics to mastering complex applications,” emphasizes Professor Justin Paulsen.
• “True learning happens when we go beyond traditional lectures,” adds Professor Charnon Pattiyanon, focusing on dynamic engagement.
• “Our goal is to produce industry-ready graduates,” states Professor Akkarit Sangpetch, advocating for real-world exposure.

The panel surfaced two values that guide how we think about learning at CMKL.

First, we believe in guided exploration. Our students are encouraged to be curious and to seek knowledge independently, with instructors nearby to point them in the right direction. Rather than dictating every move, faculty provide both a safety net and a compass, allowing students to take ownership of their learning while still feeling supported.

Second, our approach is to focus on what matters most and to build a strong network of support. We do not expect to cram every topic into a single sitting. Instead, we help students discover key concepts and critical skills and then surround them with a system of teaching assistants, peer mentors, and faculty who can answer questions, reinforce learning, and encourage them along the way. This collaborative spirit is what makes difficult learning challenges not only manageable but meaningful.

For instructors who are passionate about nurturing curious, capable, and adaptable learners, CMKL is a place where your efforts are valued and your work is never isolated. New faculty members quickly find themselves part of an ecosystem that is focused on growth and support. From the first day of training to ongoing collaboration with colleagues, teaching assistants, and leadership, you are surrounded by people who care about your experience and your development.

The conversations during our panel and our hands-on training sessions make it clear that excellence in teaching at CMKL is not about packing more slides into a lecture. Our daily practice is about creating an environment where students can experiment, ask questions, learn from mistakes, and push the boundaries of their knowledge, all while being guided by thoughtful mentors.

If you are searching for a university where your growth as an educator is as important as your students’ learning outcomes, we invite you to reach out. At CMKL, your voice matters. Professional development is a priority. Most importantly, you join a caring community where teaching is celebrated, challenges are shared, and your career journey is just as valued as what happens in the classroom. Come see what it means to teach in a setting where you are seen, supported, and truly inspired every day.

Story by Siraphop Mukdaphetcharat

CMKL Instructor Spotlight: Where Educators Thrive was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

“The long-term goal? A platform that can serve both individuals and institutions in need of reliable, inclusive reading alternatives — from schools for the blind to public libraries.”
 — Khant Phyo Wai, SONAR Project Team

What’s the Goal?

Accessing printed books can be a major challenge for the visually impaired community, particularly in Thailand where accessible reading tools for the visually impaired are limited. The SONAR team set out to address this gap by building an app that could read Thai books aloud — clearly, accurately, and naturally — using only a smartphone.

“We took on this project because it offers a steep learning curve: it brings together several cutting-edge technologies, and the resulting product is both versatile and highly adaptable. I’m confident it can scale into something much bigger and deliver real value to an often underrepresented audience.” — Khant Phyo Wai

SONAR was designed from the ground up to be user-friendly for those with limited or no vision. It features screen reader support, audio-based feedback, and live reading feature to ensure ease of use.

How Does the App Work?

Users simply point their phone’s camera at a printed page. The app then processes the image, reads the text using Optical Character Recognition (OCR), and converts it into natural Thai speech using AI-powered Text-to-Speech (TTS) synthesis. Users can pause, rewind, or replay sections just like a traditional audiobook.

With a current accuracy rate of approximately 95%, SONAR represents a significant step forward in Thai-language accessibility.

Behind the Technology

SONAR combines modern AI and deep learning technologies into an efficient and accessible mobile platform. The system features OCR powered by EasyOCR for Thai text recognition, Text-to-Speech capabilities using VITS models, and deep learning frameworks like PyTorch. It also includes a cross-platform mobile app built with Flutter, and a robust backend architecture that utilizes PostgreSQL, FastAPI, and Celery to enable smooth, asynchronous processing.

“The hard part? Not a lot of people develop apps for the visually impaired. We had to constantly learn how users navigate their phones and go to our partners at CFBT (Christian Foundation for the Blind in Thailand) to do real-time testing.” — Thiri Htet Thwe, Sonar Team Member

OCR Pipeline: From Page to Voice

A key feature of SONAR is its custom-built OCR pipeline, tailored specifically for Thai-language texts. The pipeline includes:

1. Image Preprocessing

• Grayscale conversion for clarity
• Resizing input for consistent processing
• Quality checks on brightness, contrast, and sharpness

2. OCR Extraction

• Uses EasyOCR to extract text, bounding boxes, and confidence levels
• Optimized for the complexity of Thai script

3. Postprocessing

• Basic correction using PyThaiNLP for grammar and character normalization
• Advanced correction using large language models (LLMs) to refine sentence structure and context

Why It Matters

SONAR is more than a student project — it’s a real-world solution with meaningful social impact. It helps users access any printed Thai book, supports mobile and on-the-go learning, and is built specifically for the Thai language.

Its accessibility-first design ensures that it is easy to navigate for those with visual impairments. By focusing on natural-sounding Thai speech and accurate OCR, the app bridges the gap left by many global platforms.

What’s Next?

The SONAR team is already looking ahead, with exciting updates on the horizon. Future plans include expanded voice options that convey emotional tones, hands-free controls through voice commands, and a growing library of pre-recorded Thai audiobooks. Their ultimate vision is to make SONAR a widely adopted tool across schools, libraries, and public institutions in Thailand — bringing inclusive literacy within reach for all.

At CMKL, this is what we stand for: blending heart, knowledge, and technology to create real change. SONAR isn’t just a student project — it’s a step toward a more inclusive future, led by students like the SONAR team, whose commitment to social impact is shaping a better tomorrow.

Turning Words into Voice: CMKL Students Create Audiobook App for the Visually Impaired was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

Imagine your heart is a nightclub. Normally, the DJ — your sinoatrial node — keeps the rhythm tight, the dance floor flowing, and everything pulsing in sync. But with atrial fibrillation (AF), the beat gets hijacked. Now there are strobe lights, conflicting tempos, and total chaos in the upper chambers. And when the beat’s broken, the consequences can be deadly.

AF is the most common heart rhythm disorder in the world, affecting 1–2% of the global population — and that number skyrockets as we age. By the time you hit your 80s, the chance of developing AF climbs to 15%. But it’s not just about irregular heartbeats. Left unchecked, AF increases your risk of stroke by up to five times, and can snowball into full-blown heart failure. This is not your garden-variety heart flutter — it’s serious business

Enter: Catheter Ablation — and the Problem with Playing Guesswork

One of the leading treatments for AF is catheter ablation — a procedure where doctors insert a catheter into the heart and literally burn (or freeze) the tissue causing the electrical chaos. The goal? Shut down the rogue signals and reboot the rhythm.

But here’s the catch: the human heart doesn’t exactly come with GPS coordinates for “problem area: burn here.” Cardiologists must identify regions with abnormal electrical activity called CFAEs — Complex Fractionated Atrial Electrograms. Finding them is part science, part art, and part surgeon’s intuition.

“Detecting these abnormalities is extremely difficult,” explains Associate Professor Supan Tungjitkusolmun, one of the project’s lead researchers. “It requires years of experience, and not all cardiac surgeons have that level of skill. Even for the most seasoned experts, it’s easy to miss.”

The AI Revolution (a.k.a. Your Cardiologist’s New Best Friend)

Researchers at CMKL University are rewriting the playbook with an AI-powered heart mapping system that could change how catheter ablation is done — forever.

This system employs five specialized AI engines to analyze data, predict ideal ablation sites, and assist doctors in real time. It’s like putting a digital co-pilot inside the operating room — one that doesn’t get tired, distracted, or overwhelmed.

Here’s how it works:

1. Listen to the Beat: Intracardiac electrogram data is collected directly from the heart.
2. Analyze the Chaos: Two AI engines assess the severity and pattern of electrical abnormalities.
3. Pick the Target: A third AI suggests where to begin the ablation process.
4. Refine and Repeat: New data is collected post-ablation and run through updated analyses.
5. Stop When It’s Quiet: The final AI engine confirms when the heart is clear of all abnormalities.

“My goal has always been to use AI to help people — in any way I can,” says Assoc. Prof. Supan. “And in cardiology, this is where AI can make the most impact. It adds precision, speed, and confidence where doctors would otherwise have to rely on judgment alone.”

Why This Isn’t Just “Nice to Have” — It’s a Lifesaver

Getting a heart procedure wrong isn’t just inconvenient — it can be fatal. Repeat ablations, misfires, and missed signals lead to longer surgeries, more complications, and poorer outcomes.

By contrast, AI can:

• Identify hard-to-detect abnormalities that even skilled doctors might overlook
• Reduce unnecessary ablations, preserving healthy tissue
• Provide real-time feedback throughout the procedure
• Significantly boost success rates and reduce recurrence of AF

“If this system becomes available in hospitals,” Assoc. Prof. Supan adds, “it could dramatically improve quality of life for patients with heart disease. That’s the ultimate goal — not just to treat, but to help them live better.”

This Is the Future of Heart Care

This technology doesn’t replace doctors — it empowers them. It gives surgeons more information, sharper precision, and fewer risks. What was once a high-stakes guessing game becomes a smart, AI-guided strategy.

For patients, it’s a second chance at rhythm.

For cardiologists, it’s the trusted copilot they didn’t know they needed — precise, tireless, and always there.

For science? It’s a testament to how innovation and medical insight together can push the boundaries of what’s treatable — and what’s imaginable.

Co-developed between CMKL University and Bumrungrad Hospital, this AI-powered heart mapping project is a groundbreaking example of interdisciplinary collaboration — bringing together engineering, AI, and medical science for a future where hearts beat stronger, and smarter.

Hacking the Heart: How AI is Taking on Atrial Fibrillation — One Beat at a Time was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

In an era where technology is reshaping every industry, fashion retail is no exception. Imagine walking past a store, and a display screen captures your body measurements in real time, dressing you in outfits from the latest collection — no fitting room required. This is not science fiction; it’s the vision behind an interactive 3D virtual fitting service developed by a group of innovative CMKL students.

The project’s inspiration came from a conversation between one of the team members, Ryan, and his sister. “She mentioned how cool it would be to have a personal mirror that shows different outfits from your wardrobe,” Ryan shared in our interview. That simple idea evolved into something with real commercial potential. Initially, the team considered using cutting-edge technologies like Generative AI and diffusion models. However, after a candid discussion with their advisor, Professor Pisut, they pivoted to MetaHuman and Unreal Engine.

“GenAI sounded cool, but even our professor admitted it would take years to perfect. MetaHumans gave us a faster, more practical way to build our prototype,” a student explained.

The technology is grounded in a solid methodology. The team conducted an internal analysis and a Net Present Value (NPV) estimation to assess financial viability over five years. They also drafted a business model canvas, identifying revenue streams, target customers, and cost structures. Luka, responsible for mastering Unreal Engine, mentioned, “We had to learn the toolkit from scratch, but it was worth it. Unreal Engine allows us to integrate real-time rendering and MetaHuman models smoothly.”

But technology brings its own set of challenges. Privacy concerns around body scans and facial recognition were significant. When asked how they plan to tackle this, a student explained,

“We designed it so the display shows neutral avatars until users consent. No faces, no personal data — just basic body poses. Only after consent do we activate face-swapping and custom fitting.”

It’s a thoughtful approach that balances innovation with ethical responsibility.

While the team isn’t targeting specific brands yet, they’ve identified potential markets.

“We think brands like Uniqlo in Thailand or H&M in Europe could benefit.”

An interview with a fashion specialist revealed that such in-store technologies could significantly impact sales, making this more than just a tech demo but a potential game-changer for retail.

Despite facing obstacles like limited meetings with their professor and technical roadblocks, the team remains optimistic.

“We had to scrap a lot of work and start over, but that’s part of the process. What matters is that we learned from it,”

the team reflected. Their biggest takeaway? Resilience.

“Don’t give up too soon,” a member advised. “We almost did, but sticking with it helped us realize the true potential of our idea.”

Looking ahead, as someone who is deeply interested in fashion, though not necessarily fashionable myself, I believe the future of the fashion industry will be shaped by the fusion of technology and creativity — redefining how we shop, how we engage with fashion, and how we create more personal and inclusive experiences. Through interviews, trial and error, and countless late nights, this team has crafted something that holds the potential to revolutionize retail. As a junior reflecting on the achievements of my freshman peers: well done. And to the future of the retail industry, I remain genuinely optimistic. Virtual fitting rooms, AI-driven style recommendations, and personalized shopping experiences will soon become the norm. As digital and physical retail spaces continue to merge, brands that embrace these innovations will not just survive but thrive. The journey is just beginning, and the future looks bright!

Story by Chan Bormei Suy

Dressing for the Future in a World Without Fitting Rooms was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

This groundbreaking project is the result of dedicated work by second-year Artificial Intelligence and Computer Engineering (AiCE) students: Jira Pitakwong, Sirichada Wattanasiritanawong, Chawin Luangtumrongjareon, Natthanon Prajogo, and Phakin Dhamsirimongkol.

AI-Powered Solution Addresses Navigation Gaps

PathSense was conceived to overcome the limitations of traditional white canes, which cannot detect overhead obstacles or differentiate object types. The device uses a camera, attachable to a user’s bag, to capture environmental images. An AI system processes these images in real-time to identify potential hazards, delivering audio descriptions and alerts via a connected mobile application. The team has focused on creating an affordable yet highly functional solution to promote inclusive accessibility.

Journey to Victory: From Classroom to Competition

The PathSense project began during the team’s freshman year as part of the compulsory Undergraduate R&D (URD) curriculum in CMKL’s AiCE Program. Continuous development and refinement, driven by the goal of creating a practical, real-world solution, culminated in their successful participation and ultimate win at the AIS Jump Hackathon 2025.

Recognition and Future Ambitions

Winning the hackathon marks a significant milestone for the PathSense team, validating their hard work and innovation. Reflecting on their journey, the team shared: “We started this project as a freshman-year assignment, but now we’re looking at the bigger picture — where we want PathSense to be in the next five years. Thanks to CMKL’s support, we’ve gained the confidence to continue innovating and making a real-world impact.”

Despite the accolades, the students remain focused on enhancing their creation. “Up until now, PathSense is already among the most affordable solutions in the market, our goal is to further reduce its costs while enhancing its features and efficiency. We aim to integrate the AI-powered voice interaction, enabling users to engage with the device in a natural and intuitive way,” the student developers stated, looking towards the future development post-win.

CMKL’s Supportive Ecosystem Fosters Success

The students credit CMKL University’s dynamic learning environment for contributing significantly to their success. The AiCE Program’s competency-based curriculum uniquely blends AI expertise with entrepreneurial skills and allows the flexibility needed for hands-on innovation alongside academic studies.

“Our advisor, Assistant Professor Panarat Cherntanomwong, has played a crucial role in shaping our project. She not only provided constructive feedback on our prototypes but also connected us with industry experts. These experiences have deepened our understanding of both product development and business management,” the team explained. They added, “Working on PathSense has been an incredible opportunity to apply what we learn in class to a real-world problem. The support from our lecturers and advisors has made this journey fun, exciting, and full of possibilities.”

CMKL: Cultivating Thailand’s AI Talent

As Thailand’s pioneering AI-focused university located in Bangkok, CMKL is committed to nurturing young talent in vital fields like AI and digital engineering.

CMKL Student Team Wins AIS Jump Hackathon 2025 with PathSense Innovation was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

Imagine driving down an empty highway late at night. The road stretches endlessly, your eyelids grow heavier, and in the next moment…a gentle beep nudges you back to alertness. And no, that beep isn’t just a sound. It’s an AI-powered dashcam designed to keep you safe, a project brought to life by a group of freshmen at CMKL who saw a problem too big to ignore: drowsy driving.

It all started with some alarming statistics. Drowsy driving causes nearly 20% of all car crashes in the U.S. alone. The team realized that the usual solutions — awareness campaigns, driver self-assessments — weren’t enough. They needed something that didn’t rely on people realizing they were tired. Thus, they built a dashcam that does the noticing for them. It records, analyzes, and alerts, using AI to detect signs of fatigue like heavy eyelids and head nodding before it’s too late.

The foundation of the project is built upon advanced technologies, primarily using YOLOv8, a real-time object detection algorithm. The team also used Apex, a supercomputer hosted by CMKL, to train custom datasets to improve the model’s accuracy in identifying signs of driver fatigue, including prolonged eye closure, head nodding, and changes in facial expressions. Additionally, they designed an intuitive app interface using Figma, because what’s the point of great tech if it’s not easy to use?

Of course, the journey was anything but smooth. The team faced significant obstacles in data training, particularly concerning model accuracy under varying lighting conditions and the presence of obstructions such as sunglasses and face masks.

“If I could go back, I’d start sooner,”

one of them admitted, reflecting on how much time was eaten up just troubleshooting. But their professor disagreed.

“I wouldn’t change a thing,” he said. “They learned the most from the hard parts. That’s the point.”

Privacy concerns were an important consideration throughout the project. The team implemented multi-layered measures to safeguard user data, ensuring that all footage is stored locally on the device with no automatic cloud uploads.

“All the data stays on the device,” they explained. “Nothing goes to the cloud unless the user says so.”

Simple, transparent, and in control of the person who matters most — the driver.

The outcomes of the project are remarkable. The dashcam effectively detects signs of drowsiness and provides timely alerts, significantly enhancing driver safety. Moving forward, they plan to refine the system further, incorporating features like night mode and advanced alert mechanisms, thereby contributing to broader road safety initiatives.

Their dashcam works.

It detects drowsiness.

It keeps people awake and alive.

And what matters most is that they’re using technology where it counts the most: to save lives. Who knows how many lives will be saved in the future because of this? And that, in itself, is extraordinary.

Story by Chan Bormei Suy

Staying Awake, Staying Alive with an AI-Powered Dashcam was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

In Thailand’s packed classrooms, where teachers juggle up to 50 students at a time, the need for smarter, more efficient teaching tools is clear. That’s where GradeWise comes in with its bold aim to transform how teachers approach both grading and teaching, with the help of artificial intelligence (AI).

The story of GradeWise starts with a simple question: How can we make teachers’ workloads more manageable? Thai educators spend approximately 84 out of 200 academic days on non-teaching activities like grading, which significantly reduces the time available for lesson planning, student support, and professional development. The team aims to address this challenge by automating the grading process and providing educators with detailed insights into student performance.

The technical framework of GradeWise consists of two primary components: Optical Character Recognition (OCR) and the web-based platform that supports user interaction. The development team uses Tesseract OCR in combination with YOLO (You Only Look Once) object detection to accurately extract and interpret handwritten mathematical equations. The system was trained using over 10,000 annotated datasets, with refinements made through platforms like Roboflow to improve its ability to recognize complex mathematical symbols and differentiate between similar characters, such as the letter ‘x’ and the multiplication sign. Although challenges were encountered, particularly in recognizing fractions and exponents, continuous iteration has led to significant improvements in accuracy.

Today, their OCR system is performing impressively, with an F1-score of 92.4%, precision at 87.8%, and recall at 97.6%. These numbers might sound technical, but in simple terms, they mean the system is highly reliable when it comes to grading student work, making fewer mistakes and capturing more correct answers.

For GradeWise, the user experience was front and center from day one. Drawing inspiration from platforms like Canvas and Google Classroom, the team created a clean, intuitive dashboard that focuses on what matters most: student performance. Their prototype, built in Figma, went through several rounds of feedback and revision, ensuring it is easy to navigate, even for teachers who aren’t tech-savvy.

In an exclusive interview, the team and their advisor shared their reflections on the project’s journey and its future. While they’ve successfully developed a functional prototype, the big question looms: Will GradeWise evolve into a startup?

“We’ve grasped the potential of this educational tool, especially in the Thai context,”

one team member noted. However, the team remains in an exploratory phase, with one semester left to determine the project’s full potential. They’re keen on gathering more user feedback, refining the AI’s grading capabilities, and possibly expanding into subjects beyond mathematics, including essay-based assessments through advanced Natural Language Processing (NLP).

What sets GradeWise apart from existing solutions is its deep integration of AI, not just to expedite grading but to enhance the learning process itself. While other platforms focus on efficiency, GradeWise aims to provide personalized feedback, comprehensive student analytics, and adaptive learning insights.

Looking ahead, the team plans to launch a pilot program with select schools, offering free trials to gather real-world feedback. If it goes well, GradeWise could grow into a full-fledged startup, driving educational reforms not just in Thailand but potentially on a global scale.

Imagine an educational system where a tool fosters better learning environments, reduces teacher burnout, and ultimately helps students thrive. These dedicated freshmen at CMKL University, along with their advisor, are working tirelessly to turn this vision into a reality !

Story by Chan Bormei Suy

Reimagining Classrooms with GradeWise was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

In a world where screen time has skyrocketed and mental health concerns are on the rise, a group of passionate CMKL freshmen set out to flip the script. Their mission? To create a mobile game that doesn’t just entertain but also promotes healthier lifestyles. This ambitious project combines health, gaming, and social connectivity, driven by the belief that the addictive nature of games can be used for good. But beyond the technical frameworks and design sketches lies a story of learning, resilience, and insightful reflections — shared candidly during a recent interview with the team and their advisor, Ajan Justin.

The project centers around a health-focused mobile game designed with Unreal Engine 5, combining real-life activities with in-game progress. Players earn rewards not by grinding levels on their screens but through actual healthy habits like walking, engaging socially, and answering trivia questions that keep the mind sharp. Characters in the game, inspired by endangered species like axolotls and sand cats, grow stronger as players improve their real-world health, creating a powerful metaphor for personal growth.

One of the most significant technical challenges the team faced was diving headfirst into Unreal Engine 5 without prior experience.

“We jumped straight into using Unreal Engine with no background in game development,”

shared one of the students. The learning curve was steep, but the team saw this not just as an obstacle but as an opportunity to explore endless possibilities.

Interestingly, the project is also deeply rooted in psychological theories. The students drew heavily from B.F. Skinner’s operant conditioning model, focusing on positive reinforcement to encourage healthy behaviors.

“We give rewards or points to players to increase the likelihood of repeating health-related behaviors,”

one team member explained. This approach transforms mundane tasks like walking or drinking water into rewarding activities, reinforcing habits through immediate in-game gratification.

But with the goal of promoting health through a game, the elephant in the room was clear: How do you prevent the app itself from becoming just another source of screen addiction? The team tackled this by designing gameplay loops that require players to engage with the real world.

“The key is withholding in-game rewards unless players practice healthy, non-screen activities,” they noted.

The idea is to create a symbiotic relationship between the game and the player’s lifestyle, where progress in one fuels growth in the other.

When it comes to monetization, the team acknowledges the challenge of keeping the game fair for all users. They are considering a balanced approach with options like locking some story content behind modest paywalls (e.g., $1 for new chapters), limiting character selection with purchasable characters, and offering customization options through a simple storefront for non-game items to personalize avatars. This model aims to ensure that paying for extras enhances the experience without giving unfair advantages in gameplay.

Ultimately, this project isn’t trying to ‘fix’ screen time or pretend technology isn’t part of our lives, nor is it about creating the lesser of two evils where screen addiction is justified by good intentions. Rather, it’s about meeting people where they are by using the very same tools that often distract us to actually help us grow. The team recognizes that technology, in isolation, cannot drive meaningful change, but it can be designed to support the habits and mindset shifts that matter. As one student put it, “If it actually works and helps users, then it has a lot of potential.”

Coming from a junior writing this, I cannot wait to see the project blossom, transforming not just digital characters but real lives along the way. To the reader, stay tuned for what our CMKL freshmen cook up in the next article!

Story by Chan Bormei Suy

The Mobile Game Where Real Life Is the Ultimate Win was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.

The rise of digital nomadism has transformed the way professionals work and travel, offering freedom and flexibility like never before. However, with this lifestyle comes a significant challenge: loneliness. Many digital nomads struggle to build meaningful connections while constantly moving between locations. Recognizing this gap, a few CMKL Freshmen along with their advisor, Ajan Dylan, developed a platform designed to help nomads connect with like-minded individuals and foster lasting relationships.

Unlike platforms like Meetup or Bumble BFF, NomadSync focuses on small-group matchmaking rather than just event-based interactions.

“Unlike Meetup, where you just join events and hope to meet the right people, our app actually matches you with small groups based on shared interests,” the team explained. “It’s kind of like a dating app, but instead of dating, it’s for making meaningful friendships.”

By grouping users into clusters of 4–6 people with shared interests, the app eliminates the awkwardness of large social events and increases the likelihood of forming deeper connections. Additionally, NomadSync ensures variety in networking by preventing users from repeatedly matching with the same individuals, thus expanding their social circles.

Developing a platform for digital nomads presented unique challenges. The team quickly realized that their audience wasn’t just looking for casual meetups; they needed a structured way to create long-term, meaningful relationships while on the move.

“One of the biggest lessons in building a platform for digital nomads is that it’s not just about making work easier; it’s also about helping them feel less lonely,” said one of the developers.

“Since digital nomads move around a lot, they often struggle to make deep, lasting friendships. Even though they get to explore new places, the lack of a stable community can feel isolating.”

With this insight, the team shifted their focus toward community-building features rather than traditional travel or productivity tools. They designed the app with elements like AI-driven matchmaking, local event recommendations, and a mentorship program to help users navigate new cities with ease.

Like any digital platform, NomadSync needed a monetization strategy that didn’t compromise user trust. The team considered a subscription model alongside strategic partnerships with coworking spaces, gyms, and hotels to provide added value to users.

“We are committed to continuously updating the platform with new features and innovations while ensuring a safe, supportive, and well-moderated community,”

they emphasized. Transparency and privacy remain top priorities, with encryption and two-factor authentication in place to protect sensitive data such as location and interaction history.

The project also reshaped the team’s perspective on the digital nomad lifestyle. Initially, they assumed digital nomads prioritized work flexibility above all else. However, their research revealed that a strong support system is just as crucial as reliable Wi-Fi.

“Digital nomads are a very special user group. They are not just tourists; they value enduring connections for networking or business purposes,”

One team member noted. This insight influenced the platform’s design, shifting its focus toward community-driven features rather than just travel planning tools.

While NomadSync remains an academic project for now, its potential as a startup remains open. “If it succeeds, we hope to eventually turn it into a startup, but for now, we would prefer to concentrate on our academic work,” the team shared. “After we graduate, we might reevaluate whether we want to continue the project.”

With a thoughtful approach to matchmaking, a deep understanding of the digital nomad lifestyle, and a commitment to user trust, NomadSync offers a promising solution to one of the biggest challenges faced by remote workers worldwide. Whether it evolves into a full-fledged startup or remains an insightful academic endeavor, the project has already made an impact in redefining how digital nomads connect.

Story by Chan Bormei Suy

Building a Community for Digital Nomads Though NomadSync was originally published in CMKL University on Medium, where people are continuing the conversation by highlighting and responding to this story.