Participating Teams

Meet the teams competing at HackHPC@ADMI26

Capsule Corp CoderZ

🏆 Team Introductions Award 🏆 Organizers Originality Award

Build an alternate Dragon Ball timeline text-simulator where Goku remains 'Kakarot' and Earth is conquered — featuring age-up mechanics, combat systems, Great Ape events, branching 'What If' sagas, King Yemma legacy/rebirth, and balanced progression across multiple origins.

Research Question: In an alternative timeline analysis of the Dragon Ball Z universe, how would the narrative trajectory and planetary events have been altered if the protagonist, Goku, had not sustained his childhood head injury?

Team Members

Team Files

ZoomVirtualBackground.png TeamIntroductionSlide.png Capsule Corp Coderz_Presentation.pdf CapsuleCorpCoderz_Poster.pdf Day2-Checkin.pdf Day3-Checkin.pdf Day4-Updated-Gantt.pdf Team_Introduction.pdf Team_Project_Plan.pdf
GitHub Repository Team Website Live App
Team Theme Song: Kame Spark by tybandz12345
Milestones
  • M1 Project planning (concept, main paths, roles)
  • M2 Story & timeline design (opening story, branches, endings)
  • M3 Data collection (Wikipedia/Dragon Ball Wiki, lore JSON)
  • M4 Game logic design (decision trees, scoring)
  • M5 Front-end development (UI, choice buttons, cards, timelines)
  • M6 Back-end/AI integration (stored branches, AI responses, RAG for lore Q&A)
  • M7 Testing & debugging
  • M8 Final presentation (demo, theme, technologies, milestones, roles)

Last updated: June 25, 2026 · 10:00 AM EDT

Technologies

Origin Zero

🏆 Gateways Impact Award

Trace root causes of health disparities in underrepresented communities via Wikipedia — mapping disparities to historical origins, building a live Wikipedia crawler, using PageRank to identify true root causes, and creating an interactive origin chain with plain-English narrative.

Research Question: What are the historical origins and fundamental root causes of diabetes, specifically regarding health disparities in underrepresented communities?

Team Members

Team Files

ZoomVirtualBackground.png TeamIntroductionSlide.png Day2-Checkin.pdf Day3-Checkin.pdf Day4-Updated-Gantt.pdf OriginZero_Final_v5.pdf OriginZero_Poster.pdf Team_Introduction.pdf Team_Project_Plan.pdf
GitHub Repository Team Website
Team Theme Song: Cold Streets by BeatKitchen
Milestones
  • M1 Setup & research
  • M2 Wikipedia crawler
  • M3 Knowledge graph construction
  • M4 PageRank & causal logic
  • M5 Narrative generator
  • M6 Frontend & visualization
  • M7 Demo & pitch readiness
  • M8 Present & reflect

Last updated: June 25, 2026 · 10:00 AM EDT

Technologies

The Hacking Tribunal

🏆 24-Hour Progress Challenge Award 🏆 Knowledge Portal Award

Develop an AI-assisted forecasting platform using encyclopedic biological knowledge to predict emerging concepts and innovation opportunities — building a biological knowledge graph, identifying historical patterns, detecting cross-discipline convergence, and generating evidence-based forecasts.

Research Question: How can historical data and innovation trends in robotics be analyzed to accurately forecast future technological developments in the field?

Team Members

Team Files

ZoomVirtualBackground.png TeamIntroductionSlide.png Day2-Checkin.pdf Day3-Checkin.pdf Day4-Updated-Gantt.pdf FINAL PRESENTATION - The Hacking Tribunal.pdf Poster.pdf Team_Introduction.pdf Team_Project_Plan.pdf
GitHub Repository Team Website
Team Theme Song: Midnight Drive by nrapheal04
Milestones
  • M1 Foundation & repo setup (GitHub, Colab, shared config)
  • M2 Biological seed dataset creation
  • M3 Knowledge graph construction
  • M4 Historical evolution analysis
  • M5 Convergence detection system
  • M6 AI forecasting engine (RAG-based)
  • M7 Visualization & UX
  • M8 Final submission package (README, poster, notebooks, demo)

Last updated: June 25, 2026 · 10:00 AM EDT

Technologies

WinMaxxers

🏆 Project Plan Award 🏆 Knowledge Graph Analytics Award

Use Wikipedia-only forecasting to predict emerging concepts from Wikipedia's structure — modeling pages as graph nodes, designing simple explainable scoring instead of black-box ML, and analyzing historical growth patterns to detect rising concepts.

Research Question: Based on historical knowledge growth patterns, what is projected to be the next significant emerging concept or technology within the field of nanotechnology?

Team Members

Team Files

ZoomVirtualBackground.png TeamIntroductionSlide.png Day2-Checkin.pdf Day3-Checkin.pdf Day4-Updated-Gantt.pdf NanoNext (4).pdf Navigating the Nano-Future_ Wikipedia Knowledge Graph Poster.pdf Team_Introduction.pdf Team_Project_Plan.pdf
GitHub Repository Team Website
Team Theme Song: Pattern Crown by darellbarnes
Milestones
  • M1 Project definition & repo setup
  • M2 Data acquisition (snapshots, API/web-scraping, parsing)
  • M3 Knowledge graph construction
  • M4 Feature engineering (graph metrics, model selection, normalization)
  • M5 Scoring model (labels, splits, training)
  • M6 Validation (identify emerging concepts, narrative, community evolution)
  • M7 Polish (explorer, timeline controls, dashboard, search, presentation)

Last updated: June 25, 2026 · 10:00 AM EDT

Technologies