Data ScienceArtificial IntelligenceWeb Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
9
Participants
0
Est. Projects
About the challenge: Modern development frameworks and scalable tools have fundamentally redefined our relationship with technology. The real value now lies in how we design, optimize, and deploy robust systems from the ground up to solve complex global problems, bridging the gap between a theoretical concept and software running in production. Global Innovation Build Challenge (GIBC) V2 is built around that exact challenge. Organized as a premier, fully online, student-led international hackathon hosted by Kang Chiao International School (KCIS), Xiugang Campus, this iteration follows the benchmark established by GIBC V1, which engaged 552 global participants and secured prominent industry backing from sponsors like NordVPN and Saily. GIBC V2 offers an advanced engineering platform where student developers, researchers, and innovators design high-impact computational technology. The three challenge tracks are structured around real-world industry problems that require technical autonomy, structural optimization, and domain-specific integration: foundational model architecture design, applied data engineering for critical industries, and unrestricted general invention. Throughout the 10-week hacking period spanning July 11 to September 21, 2026, participants will have the flexibility to register, form teams of up to six members, and submit their solutions. All projects will be evaluated on an international stage by an elite panel of 10–15 industry professionals and expert judges, culminating in a virtual closing award ceremony on September 28, 2026. Track 1: TECH (Foundational LLM Development) Build and train a Large Language Model (LLM) capped strictly at 50 million parameters to push transformer architectures to their absolute limits. Your solution should include a custom-designed network architecture, data curation pipelines, and training methodologies developed entirely from scratch. We want to see how much language intelligence, processing efficiency, and task-specific accuracy your system can yield within strict small-scale computational boundaries. Potential Applications: a domain-specific analytical assistant tailored for specialized legal or cryptographic discovery; a hyper-efficient language model highly optimized for local edge-device deployment; or a lightweight generative text engine trained to synthesize highly technical, niche datasets without relying on commercial API frameworks. Track 2: Applied (Medical Technology & Financial) Build a data-driven solution that leverages empirical, real-world datasets to resolve critical enterprise and societal challenges. Your solution must implement predictive machine learning models, diagnostic pipelines, or automated fintech architectures to streamline complex decision-making processes. We want to see robust data engineering that transforms raw, unstructured information into highly precise, actionable outcomes within the healthcare or financial sectors. Potential Applications: biomedical device integrations that process live telemetry for diagnostic software; data pipelines for pharmaceutical research analytics; quantitative algorithmic trading models that execute strategies based on market indicators; or automated risk management and fraud-mitigation systems designed for corporate financial portfolios. Track 3: Open (General Technical Invention) Create a functional prototype that demonstrates technical novelty, cross-disciplinary engineering, and total creative autonomy. Your goal is to show how software engineering, hardware design, interactive media, or generative algorithms can be synthesized to construct a novel product from scratch. This track imposes no architectural limits or resource constraints, encouraging developers to build the next major innovation outside conventional structural boundaries. Potential Applications: integrate hardware and software into IoT-enabled smart infrastructure; introduce advanced productivity frameworks that redefine daily digital workflows; deploy proprietary generative AI tools; or deliver full-stack web applications designed to address systemic environmental or community challenges. Get Started: 1. Register on Devpost (July 11 - September 26) Sign up on Devpost for the Global Innovation Build Challenge (GIBC) V2 to secure your spot. 2. Assemble or form group (1 to 6 members) Assemble your group or decide to build as solo developer. Once your group is set, choose one of the three distinct tracks that fits your or your team's vision. 3. Join the community Hop into the official GIBC V2 Discord server. This is where you can network with other global participants and stay updated on announcements throughout the 10-week marathon.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.