Contact person: Business Client

Phone:Show

Email:Show

Location: Hyderabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m developing a proof-of-concept that lets shoppers point their phone at themselves and instantly see how a product looks on them in real time. The build combines three pillars:

• Artificial Intelligence doing image recognition. The system must detect a person, identify key body or facial landmarks, and accurately align the virtual asset.

• Augmented Reality delivering interactive 3D models. Once the item is placed, users should be able to walk, turn, or move the camera while the model remains realistically anchored, complete with lighting and occlusion.

• A seamless virtual try-on flow that stitches the AI detection and AR rendering together into one tap.

Scope for this first stage:
1. Collect or create one sample 3D asset (e.g., eyewear, hat, or footwear) and optimise it for mobile.
2. Implement real-time landmark detection with an open-source or lightweight vision library.
3. Overlay the asset in AR so it tracks naturally as the user moves.
4. Package the prototype into a runnable iOS or Android build, plus documented source code.

I’m flexible on frameworks—ARCore, ARKit, Unity, or WebAR are all acceptable—but the end result must demonstrate stable tracking on a mid-range smartphone. Clean, well-commented code and clear setup instructions are essential, as I’ll be extending the project internally after this milestone." (client-provided description)