AI-powered application for the construction industry
Budget: $10 – $25 USD
■ The application will be able to:
• Read construction drawing files in PDF format
• Automatically detect and recognize objects in the drawings, such as:
Walls
Columns
Beams
(and other architectural/structural elements)
Convert the recognized objects into a DXF file that can be opened and edited in JWCAD (and other CAD software)
■ Project Requirements:
- Input:
2D construction drawings in PDF format
- Output:
DXF file compatible with JWCAD
■ AI Capabilities:
• Accurate object detection and classification
• Maintain correct scale and geometry
• Export objects into proper layers (e.g. walls, columns, beams, etc.)
■ Technical Expectations:
• Use of Computer Vision / Machine Learning
• PDF parsing (raster & vector-based)
• DXF generation
• Possible tools/technologies:
Python
OpenCV
TensorFlow / PyTorch
Detectron2 or similar
CAD/DXF libraries
• Read construction drawing files in PDF format
• Automatically detect and recognize objects in the drawings, such as:
Walls
Columns
Beams
(and other architectural/structural elements)
Convert the recognized objects into a DXF file that can be opened and edited in JWCAD (and other CAD software)
■ Project Requirements:
- Input:
2D construction drawings in PDF format
- Output:
DXF file compatible with JWCAD
■ AI Capabilities:
• Accurate object detection and classification
• Maintain correct scale and geometry
• Export objects into proper layers (e.g. walls, columns, beams, etc.)
■ Technical Expectations:
• Use of Computer Vision / Machine Learning
• PDF parsing (raster & vector-based)
• DXF generation
• Possible tools/technologies:
Python
OpenCV
TensorFlow / PyTorch
Detectron2 or similar
CAD/DXF libraries