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How our ai measurment working

TailorPro – AI-Powered Fashion Measurement Tool

💡 Inspiration

TailorPro was born out of a real-world problem many of us face in Nigeria and across Africa — getting properly fitted clothes. Tailors often rely on manual tape measurements, which can lead to inaccuracies, delays, and unhappy customers. We saw an opportunity to use AI and computer vision to modernize this process while preserving the uniqueness of African tailoring traditions like "Half Jampa" and "Full Jampa."

🧩 What it does

TailorPro is an AI-powered web app that extracts accurate human body measurements from full-body images uploaded by users. The system uses computer vision (MediaPipe Pose) to detect body landmarks and calculates key tailoring dimensions such as shoulder width, chest, waist, hips, and arm/leg length. These measurements are then shared with tailors who can produce better-fitting garments — all without the customer ever stepping into the shop.

🛠️ How we built it

Frontend: React.js
Backend: Laravel
AI Engine: MediaPipe Pose + custom scaling logic
Database: MySQL
Storage: Cloudinary for user-uploaded images

The user uploads a full-body image with an A4 paper for scale. TailorPro detects body landmarks using AI and computes real-world measurements.

🚧 Challenges we ran into

Ensuring pose detection accuracy with diverse body types and poor lighting
Pixel-to-inch scaling using A4 paper as a reference
Guiding users to capture suitable images (posture, distance, lighting)
Operating within limited computing resources for AI inference

🏆 Accomplishments that we're proud of

Built a working MVP as part of the 3MTT Fellowship
Achieved ±1.5 inch measurement accuracy
Integrated local tailoring patterns and terms
Positive feedback from early testers including campus tailors
Designed with offline accessibility in mind for rural use cases

📚 What we learned

Local context matters when designing AI solutions for underserved communities
Simple UI and clear instructions outperform complex workflows
Early user feedback was key to refining features and flow