Commit 083cfc25 authored by T.A.S.S. Perera's avatar T.A.S.S. Perera

Update README.md

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Wedding planning involves budgeting, scheduling, selection venue, attire, and decor. In the proposed system we will virtualizing:
* Wedding costume and jewelry (Separately Bride and Groom)
* Settee back and poruwa design/ decoration
* Floor mapping/decoration
* Wedding costume and jewelry
* Settee back and poruwa decoration
* Table and frond door decoration
Customers can suggest changing points and redesigns using 3D samples. In above requirement we will present by desktop application.
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1. Auto-personalized male model with an ideal outfit
2. Auto-personalized female model with an ideal outfit
3. Design settee back and poruwa decoration for one selected hall dimensions
4. Create jewelry, table decorations, and door decorations for a certain venue.
4. Create jewelry, table and door decorations for a certain venue.
**Research Problem**
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1. How well can the bride's bodily characteristics be matched to her wedding dress and seen beforehand?
2. How closely does the groom's outfit match the bride's choice of attire?
3. How will the seating plan for the hall be made depending on the number of guests and the colour code?
4. How should arrange a poruwa and sofa back based on the number of guests and colour code?
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4. How should arrange a poruwa and sofa back based on the number of guests and colour code?
**Pre-Requirement for the Application**
*Recommended Floor Size :*
The recommended minimum floor area for reliable detection can vary depending on the device and lighting conditions, but a common recommendation is a minimum of 0.5 meters by 0.5 meters (approximately 1.6 feet by 1.6 feet).
*Location and Lighting :*
Make sure have adequate and even lighting in the environment where you want to perform floor detection.
**Used Technologies**
*For Technologies :*
* Vuforia
* Mars
*For Backend :*
* C#
*For Design Models :*
* Blender
* Marvelous Designer
**BONDLOCK Commercial Website**
https://yasirupanduka99.github.io/BONDLOCK_Commercial_Website/
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