3 months ago
7 real-world challenges. 2 weeks to build. Let's start.
Hello all,
Today we start our journey, “From Prompt to Product.”:
7 real-world challenges.
2 weeks to build.
Check the official challenges of GenAI Zürich Hackathon 2026, powered by Apify, GoCalma, LIVEMAP AG, Manukai, Qdrant, and SonyAI.
Apify Technologies s.r.o.
🔹The Apify Challenge
AI systems are only as good as the data they can access. Real-world impact requires live, structured data from the web. Apify removes that bottleneck by giving participants access to web data infrastructure through thousands of tools through our API.
GoCalma
🔹AI-Powered Privacy Redaction: Own Your Data
Every day, people upload sensitive documents to AI tools—often losing control over their personal data. Build a secure solution that automatically redacts private information and enables safe AI usage without compromising ownership.
LIVEMAP AG
🔹Medical Citizen Assistance – First Responder Alert System
In cardiac emergencies, every minute counts. Ambulances may take 8–12 minutes, while trained citizens nearby could arrive in 0–4. Build a real-time alert system that connects dispatchers with qualified first responders—and help save lives.
🔹Local Service Bidding – Real-Time Demand Meets Supply
Local businesses face empty time slots while customers struggle to find immediate availability. Flip the booking model—let users broadcast real-time needs and allow nearby providers to compete.
Manukai
🔹Bridging 2D and 3D: Generative AI for Manufacturing Intelligence
Manufacturing still relies on manual interpretation of 2D drawings—even when 3D models exist. Build a GenAI-powered solution to extract and map product data from drawings to 3D geometry, enabling true digital manufacturing workflows.
Qdrant
🔹Context Engineering for Agentic RAG
Design smarter context pipelines for AI agents—so they can reason better, adapt over time, and continuously improve their performance in real-world workflows.
SonyAI
🔹Fair Vision-Language AI Foundations
Vision-language models power high-impact systems and must perform reliably across diverse settings without bias. Develop rigorous methods to measure and improve fairness in multimodal AI.
If you need support or have questions, please reach out on Discord. We’re happy to help.
See all challenges: https://notion.genaizurich.ch/hackathon-challenges
Warm regards,
The GenAI Zürich Hackathon Team