Developing a program for betting. Parsons

Developer for creating AI bots - multi-agent system and automations in AI application. What is needed: proficiency in n8n; experience integrating OpenAI and other AI models via API; working with webhooks, REST API, and Supabase; ability to create reliable AI workflows and automations. Create multi-agent systems from scratch or with a framework AI Agents, MCP, RAG

Counting of finished products and peopleNon-conforming products. Based on a high-performance line, ensure accurate counting of throughput, workforce participation, identification of non-conformities, and context of stops/reconfigurations, providing ready analytical information.

Good day, what is needed: 1. Conduct an analysis of the processes (personal of the manager) and the business. 2. Consider where (in which processes) AI assistants can be implemented. Where it will be appropriate and effective. 3. Develop a plan. We are engaged in the publication of scientific articles.

Hello everyone! We are looking for a tester for a web wallet with AI. The project is at the start, we need to check the basics: registration, token transfers, swap, withdrawal. Experience with buying and withdrawing crypto is important, just to understand how to work. Who can start now?

We are looking for a 3D GenAI Engineer / AI 3D Pipeline Developer We need to create a solution that can qualitatively generate 3D models from one or more images. It is important that this is not just a ready-made demo, but a clear and reproducible process: from the input image to a full-fledged 3D asset with mesh, geometry, textures, and the possibility of further use. What needs to be done: * test modern image-to-3D models and approaches; * determine which option is best suited for our task; * understand Trellis, Hunyuan3D, or similar solutions; * if necessary, use Gaussian Splatting in the 3D pipeline; * set up the conversion of Gaussian Splat / splat representation into a 3D mesh; * obtain usable geometry; * generate high-quality textures; * bring the result to a usable 3D asset state; * find the optimal balance between quality, generation speed, and pipeline complexity; * build a clear process that can be repeated for different images; * perform fine-tuning, LoRA, or other model adaptations for specific types of objects; * be able to work with ComfyUI: understand graphs, use the ComfyUI API, and write custom nodes if necessary. In your response, be sure to show a few examples in the format: input image and the resulting 3D model. The format does not matter: render, video, 3D viewer, GLB, OBJ, FBX, or Blender file. We are primarily interested in realistic objects: furniture, jewelry, interior items, decor, accessories, and other physical goods. Examples from anime or stylized characters are not suitable.