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Mobile · AI/ML

TenunSantara

Android app for Indonesian woven-textile recognition

Mobile app that recognizes Indonesian woven-cloth motifs from camera or gallery images and presents textile details.

KotlinAndroid StudioTensorFlowGoogle Cloud
TenunSantara mobile app

Overview

TenunSantara is an Android application for exploring Indonesian woven textiles. A user scans a motif with the camera or picks an image, the app classifies it with a trained model, and the result links to information about the textile.

Problem & solution

The problem

Indonesian woven textiles are difficult to identify without specialist knowledge, which limits both appreciation and educational use.

What was built

A camera-first Android app backed by an image-classification model, with a browseable catalog for people who want to explore motifs without a photo.

Key features

  • Motif scanning directly from the camera
  • Machine-learning classification of woven-cloth motifs
  • Exploration of textile categories and motif details
  • Mobile reference interface for searching and browsing textiles

My contribution

  • Android application development, model integration, and interface implementation, as documented in the portfolio PDF.

Visual showcase

TenunSantara classification result
Classification result
TenunSantara textile detail screen
Textile detail
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