2026 SYSTEX AI Innovation Competition
✨ Join the 2026 SYSTEX AI Innovation Competition ✨
Never worked with graph data? No experience?
No problem. Sign up for the workshop first, learn the ropes, then compete.
Many people assume AI competitions demand a high level of technical skill. In this competition, the complex underlying technology is packaged within the EAP (Enterprise AI Platform), so participants don't need to build applications from scratch. What we're looking for are curators — people who can uncover the value hidden behind data.
In the age of AI, high-quality data and a deep understanding of relationships within it are central to enterprise transformation. This year we're going beyond RAG to "AI Ready." We invite students from all universities to step into the role of AI architect: use the generative AI and Hybrid RAG capabilities of the EAP platform (VectorRAG + GraphRAG) to tackle the most complex knowledge-retrieval tasks faced by enterprises and public agencies. Teams will perform core knowledge retrieval, work with the EAP project API, build AI agents through vibe coding (natural-language programming), and design intelligent solutions with a working user interface and genuine real-world value.
"The EAP platform lowers the technical barrier — you define the business meaning." Whatever your background, if you bring domain knowledge, you can use vibe coding and AI agents to assemble your expertise into an intelligent system, block by block. 💪
🎯 Eligibility
- Open to undergraduate and master's students (including professional master's programs) at Fu Jen Catholic University. Teams may form freely across departments, with 2 to 5 members per team. Each student may join only one team. Teachers from other institutions are also welcome to lead teams.
- Each team must have one faculty advisor. A faculty advisor may supervise up to 10 teams, including co-supervised teams.
- ⭐ At least two members of each team must complete the assigned exercises in the online workshop, or be enrolled in the course "Graph Data and Business Problem Analysis," and submit a preliminary proposal. Teams that pass the preliminary review advance to the finals.
Note: Fu Jen students who take part in this competition as an extracurricular activity and meet the requirements of the self-directed learning course "Data Analytics Skills and E-Commerce Management" may earn 2 self-directed learning credits.
⏰ Dates
Registration is open now and closes on April 20, 2026.
Official website: https://ard20260625.wixsite.com/website-1
Poster: https://reurl.cc/O6ke2y
Guidelines: https://reurl.cc/zQW4gy
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Url:https://ard20260625.wixsite.com/website-1