SuHack 2026: NeuroBridge AI Hackathon is a one-day, deep tech hackathon hosted at Sabancı University, bringing together students to build real AI systems on real-world data.
This is not a pitch competition.
Participants will work in teams to design and build functional AI prototypes within 12 hours, focusing on challenging problems at the intersection of artificial intelligence and neuroscience.
🔬 Hackathon Tracks-
Blood-Brain Barrier (BBB) Prediction
Build machine learning models to predict molecular permeability across the BBB. -
MRI-Based Analysis
Apply supervised learning and computer vision techniques to analyze brain imaging data. -
Agent-Based AI Systems
Design intelligent agents for healthcare decision support, diagnostics, or automation.
- Real datasets (not toy problems)
- Focus on working prototypes, not slides
- Technical mentorship from industry & academia
- Evaluation based on functionality, impact, and engineering quality
- 09:00 — Check-in & Opening
- 10:00 — Build Phase Begins
- 13:00 — Break
- 14:00 — Build Phase Continues
- 17:00 — Mentoring & Feedback
- 17:30 — Final Build Sprint
- 21:00 — Final Presentations & Judging
Requirements
Each team must submit the following via Devpost:
✅ Required- Project Description
Clear explanation of the problem, approach, and solution - Working Prototype
Code, model, or system demonstrating your solution
(GitHub repository required) - Demo Video (2–3 minutes)
Showing how your system works and what it achieves - Technical Explanation
Model architecture, data usage, and methodology
- Live demo or deployed version
- Performance metrics / evaluation results
- Future improvements or scalability plan
Projects will be judged primarily on:
- Functionality
- Technical depth
- Real-world relevance
Prizes
cash
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Arin
Inanc
Polat
Goktas
Judging Criteria
-
Technical Implementation
Quality of the engineering solution, model design, and correctness of implementation. -
Functionality & Working Prototype
Does the project actually work? Is there a functioning system or model beyond slides? -
Problem Understanding & Relevance
Clarity in defining the problem and how well the solution addresses a real-world challenge. -
Innovation & Creativity
Originality of the approach and how creatively the team applies AI techniques.
Questions? Email the hackathon manager
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