Linked
Gemini 3 Hackathon SFModern manufacturing environments depend on accurate visual and contextual data to diagnose machine failures, assess wear, and build AI models for predictive maintenance. However, factory floor engineers and data/AI engineers operate in completely different worlds: • Field engineers collect images and videos under noisy, harsh conditions • Data scientists require high-quality, well-labeled, diverse datasets • Miscommunication leads to poor datasets, delayed model training, and production downtime There is currently no multi-modal system capable of guiding field engineers in real time while simultaneously generating structured, high-quality datasets for AI teams.
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