Geometric deep Pattern detector and correctors AI for Jewellery
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I need an Al-focused application that delivers 100% functionality in analysing and solving geometric patterns and sub patterns and sub to sub pattern at any level in jewellery. The primary objective is to ensure precision and reliable output.
The features include:
1. Detecting patterns across different jewellery parts such as any parts of boundaries, textures, cuts, or design elements (including broad patterns, sub-patterns, and intricate sub-to-sub patterns).
2. Identifying low-quality or unclear components within these patterns and seamlessly replacing them with high-quality elements from other sources or jewels.
3. Ensuring replacements naturally blend into the overall piece, maintaining structural integrity and visual coherence. The focus is entirely on achieving accurate functionality with results that meet expectations directly.
Experienced Al problem-solving related to geometry or pattern analysis are preferred.
Overall Goal of the project: When a customer provides a single image and gives multiple ideas or photos of other parts of the jewels for replacement of the original jewel parts, the iteration and modification process takes days when done in jewellery CAD software.
However, these hundreds of experiments and iterations need to be completed in a few seconds, which requires sending very clear final 2d images to jewellery CAD designers.
Note: No need to spend any time designing the landing page or logo or anything unnecessary. Just need core skills and full focus to tackle these problem functions and build the right tool. Require building of Deep learning neural framework including the skill of Computer vision.
NO Existing AI API buyer build need to from deep learning engineering and computer vision and must familiar with CAD
The features include:
1. Detecting patterns across different jewellery parts such as any parts of boundaries, textures, cuts, or design elements (including broad patterns, sub-patterns, and intricate sub-to-sub patterns).
2. Identifying low-quality or unclear components within these patterns and seamlessly replacing them with high-quality elements from other sources or jewels.
3. Ensuring replacements naturally blend into the overall piece, maintaining structural integrity and visual coherence. The focus is entirely on achieving accurate functionality with results that meet expectations directly.
Experienced Al problem-solving related to geometry or pattern analysis are preferred.
Overall Goal of the project: When a customer provides a single image and gives multiple ideas or photos of other parts of the jewels for replacement of the original jewel parts, the iteration and modification process takes days when done in jewellery CAD software.
However, these hundreds of experiments and iterations need to be completed in a few seconds, which requires sending very clear final 2d images to jewellery CAD designers.
Note: No need to spend any time designing the landing page or logo or anything unnecessary. Just need core skills and full focus to tackle these problem functions and build the right tool. Require building of Deep learning neural framework including the skill of Computer vision.
NO Existing AI API buyer build need to from deep learning engineering and computer vision and must familiar with CAD
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