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Groovinx Project Case Study

Project Detail

Duration: 4 month

Dev Cost: $2,000

Tagline:

Your Vision, Woven Virtually – 3D Design Meets Tailored Tradition

Client Background:

A Nigerian fashion-tech pioneer redefining cultural apparel. Their mission: democratize access to custom African wear through mobile-first 3D co-creation, connecting artisans with global customers.

The Challenge:

70% of diaspora customers abandoned orders due to sizing inaccuracies. Traditional tailors struggled to visualize client ideas from text descriptions. High-end 3D tools required gaming PCs, excluding 89% of target users on budget smartphones.

Our Approach

We built Africa’s first browser-based 3D fashion studio optimized for low-end devices, integrating measurement AI and culturally authentic design elements.

Key Features
  • Design Studio: Drag-and-drop Ankara/Vlisco patterns onto adjustable 3D avatars reflecting African body types.
  • MeasureMate: Smartphone camera-guided body scanning (accuracy ±1.5cm) with offline calibration.
  • Cultural Palette: 200+ pre-loaded motifs (Adinkra symbols, Fulani embroidery templates).
  • Tailor Connect: Live AR sessions with Lagos/Abuja artisans to adjust sleeve lengths or necklines.
  • Fabric Simulator: Physics engine shows how real cotton/lace drapes at different body angles.
Technical Breakthroughs
  • Avatar Compression: 92% smaller 3D files using Yoruba geometric pattern repetition algorithms.
  • Offline AI: TensorFlow Lite models predicting measurements from 2 photos (works on 1GB RAM devices).
  • Cultural QA: Tested design authenticity with 43 master tailors across 6 Nigerian regions.
Impact
  • 68% reduction in returns due to sizing errors.
  • 5.7x longer engagement vs. standard fashion apps.
  • Shortlisted for the 2024 AfriTECH Fashion Innovation Prize.
Client Testimonial
“Our customers are now 3D designers! Our rural tailors now receive Mumbai and Toronto orders with zero miscommunication.”
— CTO, Groovinx
Client Note

Currently, in beta testing with few friends

Technologies Used

React Native, Three.js, MediaPipe Body Tracking, TensorFlow Lite, AWS Edge, Node.js