This project aims to fulfill the requirements of the Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka.
Project Plan · Project Brief · Presentation Slide
©C241-PS409 Bangkit Capstone Team
BatikHub is an application designed to classify various types of batik motifs based on user input. This application not only functions as a classification tool, but also as an educational tool regarding the history and meaning behind each identified batik motif. The results of the motif prediction will be stored in the history page, making it easier for users to access and learn about previously explored batik motifs.
Indonesian batik, with its rich historical, aesthetic, and philosophical values, represents a significant aspect of the country's cultural heritage. Research conducted by Bandung Fe Institute and Sobat Budaya in 2015 unveiled an extensive array of batik motifs, totaling approximately 5,849 distinct patterns, each carrying its own narrative. However, despite this abundance, only about 10% of these motifs are widely recognized and appreciated. Consequently, many of batik's unique forms and styles remain obscure to the wider populace.
Therefore, we conclude a research question which is how to utilize image classification technology in a mobile application to introduce and enhance the understanding of Indonesian culture such as batik among the younger generation? In response to this inquiry, our team is deeply dedicated and firmly believes that by harnessing appropriate technology, we can devise an innovative and impactful solution to deepen the appreciation and comprehension of Indonesian batik. Through the development of a mobile application utilizing image classification, our objective is to furnish users with an engaging and educational platform, facilitating heightened affinity for and understanding of Indonesian batik.
BatikHub App Download Link: BatikHub (Google Drive)
- Project Brief : Project Brief.docx
- Final presentation : Product Presentation.pptx
| Name | Bangkit-ID | Github-Profile | Task | Progress On Task |
|---|---|---|---|---|
| Adam Haidar Azizi | M004D4KY1989 | https://github.com/HADAIZI | Develop and testing Models, Develop finalmodel using mobilenet v2, Create notebook templates for model evaluation and testing, Convert the final model to TensorFlow.js (tfjs) and TensorFlow Lite (tflite). | Done |
| Arafat Dhiya 'Ulhaq | M284D4KY2446 | https://github.com/arafatulhaq | Developing and testing models using Inception, ResNet50, and ResNet101 architectures. Conduct rigorous training sessions to optimize model performance. And validate models through comprehensive testing procedures. | Done |
| Yohanes | M180D4KY2893 | https://github.com/Y0hanesI | Create and test a model, develop the model, and perform evaluating and testing | Done |
| Lutfi Farhan Prayoga | C180D4KY0462 | https://github.com/lutfi015 | Create endpoint for get all batik, Get batik by ID and name. Store all batik and model to Cloud Storage bucket,Testing in Postman | Done |
| Daffa Farhan Raharja | C180D4KY1219 | https://github.com/FarhanGits | Create Endpoint for Predict, Deploy API to Google Cloud Run, Create Postman API Documentation | Done |
| Hanafi Satriyo Utomo S. | A004D4KY3627 | https://github.com/tiostwn | As a Project Manager, monitoring team progress, Created Sign UP XML and Fixed User Interface in all pages | Done |
| M. Armand Giovani | A004D4KY4131 | https://github.com/VanGarman21 | Create Recyclerview Homefragment & HistoryFragment, Create Upload Image & Integration API Response | Done |