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🚀Mission Accomplished: Building a Real-Time AI Spatial Agent | Vision Possible Hackathon & The Power of Learning by Building
How-ToMachine Learning

🚀Mission Accomplished: Building a Real-Time AI Spatial Agent | Vision Possible Hackathon & The Power of Learning by Building

via Dev.toSwagatika Beura1mo ago

When curiosity meets constraints , innovation happens. And when you choose to just learn by building and enjoy the journey — growth becomes unstoppable . Recently, I built VisionMate AI as my submission for the Vision Possible: Agent Protocol Hackathon — an event that challenged developers worldwide to build cutting-edge generative AI solutions using multimodal agents. Hosted by WeMakeDevs , the hackathon challenged participants to push the limits of what’s possible with real-time AI — from blazing-fast inference to true multimodal interactions. And that’s exactly where VisionMateAI was born. 🚀 What is VisionMate AI? Standard computer vision is entirely passive. If you are a cyclist, an e-scooter rider, or someone using a smart dashcam, knowing **"there is a car" **in a video feed is useless. You already know there are cars on the road! The real problem is knowing if a specific car or bus is approaching too fast or getting dangerously close to you . VisionMate AI is a comprehensive mob

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