Team Smart Uni

<p>Team Smart Uni presents four innovative projects aimed at improving operational support for academic research and education at Chalmers. These include Research Book for mapping researchers, StudyBuddy as a smart study tool, Smart Alumni Manager for fostering alumni collaborations, and Student.twin to help advisors predict student dropouts and monitor mental health. Over ten weeks, the team developed many prototypes and shared insights on integrating AI in these areas. Additional in-depth videos discuss their approaches and offer practical advice for those interested in AI at Chalmers.</p>
<h4>Key takeaways:</h4>
<ul>
<li>Four digital tools support students, alumni, and researchers.</li>
<li>Prototypes focus on collaboration, guidance, and wellbeing.</li>
<li>Videos provide further insights and AI integration tips.</li>
</ul>

<p>Team Smart Uni presents its diverse team and highlights four exploratory AI projects aimed at improving academic operations. They focused on quick prototyping using tools like Claude Code and Replit, adopting a "vibecoding" approach for collaborative, functional app development. The team reflects positively on their creative and educational summer experience, encourages viewers to watch recorded videos for inspiration, and invites further exploration of their demos, especially for the Chalmers community.</p>
<h4>Key takeaways:</h4>
<ul>
<li>Diverse team backgrounds led to innovative ideas.</li>
<li>Rapid prototyping was central to project workflow.</li>
<li>"Vibecoding" enhanced teamwork and creativity.</li>
<li>Resources and demos are available for further exploration.</li>
</ul>

<p>Team Smart Uni demonstrates how a digital "Student Twin"—a data-driven profile representing each student—can be used to predict university dropouts and identify high-potential students. By integrating academic, extracurricular, and historical data into a graph database, they create a holistic student overview. Machine learning models such as Logistic Regression and CatBoost analyze these data to predict dropout risks and provide early warnings.</p>
<p>The team highlights the importance of using high-quality, diverse, and timely data sources for accurate predictions, supporting targeted interventions and better student outcomes.</p>
<h4>Key takeaways:</h4>
<ul>
<li>Digital "Student Twins" empower early risk and talent identification.</li>
<li>Graph databases enable comprehensive student data integration.</li>
<li>Machine learning models predict dropouts and spot gifted students.</li>
<li>Success depends on quality, diversity, and timeliness of data.</li>
</ul>

<p>StudyBuddy is an AI-powered learning platform designed for Chalmers students that personalizes education using a dynamic knowledge graph to model individual understanding. The platform adapts content, teaching methods, and pacing to fit each student's unique preferences, offering both chat-based support and goal-oriented study sessions. This approach ensures students receive targeted assistance and efficient learning experiences tailored to their needs.</p>
<h4>Key takeaways:</h4>
<ul>
<li>AI customizes learning based on individual progress.</li>
<li>Knowledge graphs track and update concept mastery.</li>
<li>Content delivery and pacing adjust to student preferences.</li>
<li>Offers chat support and structured goal-driven sessions.</li>
</ul>

<p>The video introduces Researchbook, a platform designed to consolidate fragmented research data into a unified, interactive social graph. By integrating information from research.chalmers.se, ORCID, and Chalmers ODR, it maps researchers, projects, and their relationships. Advanced AI and large language model (LLM) modules power relationship analysis and enable users to interact using natural language queries.</p>
<p>Key tools highlighted include comprehensive researcher profiles, an Expert Finder for locating specialists, Field Intelligence Briefs for summarizing trends, and a Smart Research Assistant to support research activities. Ultimately, Researchbook streamlines access to research knowledge and collaboration.</p>
<h4>Key takeaways:</h4>
<ul>
<li>Researchbook creates an interactive social graph from diverse data sources.</li>
<li>AI and LLMs enhance relationship analysis and querying.</li>
<li>Offers tools like Expert Finder and Smart Research Assistant.</li>
<li>Aims to improve knowledge discovery and researcher collaboration.</li>
</ul>

<p>The Smart Alumni Manager is an AI-powered tool designed to improve Chalmers' engagement with its 70,000 alumni. The platform offers three main features: clustering alumni into target groups based on demographic and educational data for more tailored communication, predicting future donors and potential volunteers using machine learning, and optimizing email newsletters by segmenting content and timing for higher engagement rates.</p>
<p>The system uses a combination of synthetic and anonymized data and envisions future integration with digital assistants and personalized digital inboxes. Additional tools, like a media monitoring pipeline, help track alumni achievements in the press. This project aims to go beyond traditional CRM systems by offering targeted outreach and deeper insight into the alumni network.</p>
<h4>Key takeaways:</h4>
<ul>
<li>AI clusters alumni into segments for personalized communication.</li>
<li>Predictive analytics identify likely donors and volunteers.</li>
<li>Email intelligence personalizes and optimizes newsletter outreach.</li>
<li>Media monitoring tracks alumni mentions for recognition.</li>
<li>The system can serve as an advanced CRM enhancement.</li>
</ul>

Team Smart Campus

Team 10xIndividual

Team Data Exploit

Team Education

Team Upskill

Team AI-based feedback

Explorative AI projects 2025

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Explorative AI projects 2025

Team Smart Uni

Introduction to Team Smart Uni

Video description: Introdukcion to Team Smart Uni

Summary of the project

Video description: Summary of the project

Student twin

Video description: Student twin

Study buddy

Video description: Study budy

Research book

Video description: Research book

Smart Alumni Manager

Video description: Smart Alumni Manager