We’re building a **cutting-edge Virtual Try-On (VTO) platform** where users upload their photo and instantly try on multiple outfits—**t-shirts, jackets, everything—layered naturally**. The **challenge is instant application**: users should see any outfit or combination applied **immediately**, no delays. We’ve done the R&D and a basic VTO, but **layered real-time try-on is the missing piece**. We need an **AI/ML expert for a 30-minute live consultancy**, delivering a **working PoC during the call**, showing: - Instant application of multiple outfits on avatars. -Natural, photorealistic layering (e.g., jacket over t-shirt). -Advice on the **best model architecture and pipeline** for production-ready speed. Skills:** -Computer vision: segmentation, pose estimation, image composition. -PyTorch/TensorFlow or similar ML frameworks. -Experience with **VTO, mask-based layering, GANs, diffusion models**. -Proven ability to **deliver real-time, instant PoC demos**. Deliverables: -A **live PoC demonstrating instant, layered try-on. -Guidance for **fast, scalable implementation. Note: We've already done our R&D and try different VTO models (e.g Google Virtual Try on,KlingAI virtual try on).But the issue is these are doing single layering.Like a t-shirt or Jacket.It get input as avatar,outfit & jsut give the vto.But we need instant layering support.For say,when user will upload different outfit,we might create a segmented masking with the ai model and next time when do try on,we might do instant layeriing with python library like open cv or pillo.Please refer this video I create for the team- https://www.loom.com/share/5f9c1911623f48f4afae45001e51bb7f?sid=491bfedb-9b2d-46c6-a87e-fe47a71817b7 Make sure you apply only you are confident you can show live demo what we are loking for. Thank you.