(UK AND EUROPE BASED ONLY) ** Others will be reported. We’re looking for a Python and Machine Learning expert to build the core visualization engine for an AI-powered floor replacement tool—think along the lines of HomeDesigns.ai Floor Editor or Winstars.ai Flooring Designer. This gig is all about the backend visualization: take an uploaded room image, detect the floor, and swap it with a custom texture, keeping it lean and cost-effective on a server. No fancy frontend—just a simple Python UI for testing. **Here’s what we need: Core Task: Use Python and OpenCV to detect floors and replace them with a custom tiled image we provide. AI Models: Leverage or fine-tune lightweight ML models (e.g., segmentation) for accurate floor detection—good enough to keep things clean and precise. TensorFlow or PyTorch are our go-tos. Server Efficiency: Deploy it on a low-cost server (like a small AWS/GCP instance). We want a solid balance of speed and accuracy without racking up big server bills—efficiency is the name of the game. Simple UI: Build a basic Python UI (e.g., Tkinter or a script) so we can upload an image, select a texture, and tweak it—specifically, resize and rotate the tile/texture to fit the room. Nothing flashy, just functional. Success Looks Like: The final image has no (or barely any) artifacting—clean edges, no weird glitches. The texture’s perspective matches the room realistically, like it belongs there. Plus, we can adjust the tile/texture size and rotation for a perfect fit. **What We’re Looking For: Strong Python and OpenCV skills—floor detection and texture replacement should be second nature to you. Experience with lightweight ML models (e.g., U-Net, MobileNet) that deliver accuracy without eating resources. Know-how to deploy on a server and keep costs low—think CPU-friendly or minimal GPU, maybe some model optimization tricks like quantization. Ability to whip up a simple Python GUI that lets us resize and rotate textures on the fly. A practical approach to hit our success criteria—clean output, realistic perspective, and flexible textures—without overcomplicating things. **Project Scope & Budget: Fixed-price job, aiming for a working prototype in 4 weeks. This is just the visualization engine—no frontend needed. **How to Apply: Examples of Python/OpenCV or ML projects you’ve done (code, demos, or write-ups are awesome). A quick rundown of how you’d tackle this—model ideas, optimization approach, etc. Your availability and rate.