Mobile Application Project
BTS AI Test is the application to predict your face matching with one of the BTS members. A.I. machine learning algorithm is applied for this application. More than 300 images were used for each member. Thus, a total of 2500 images, approximately was used for the A.I. machine learning model. Therefore, the accuracy of prediction is very high. You can predict who is the most resemble BTS member to you. Also, you will learn the BTS with the member description. Do not wait to meet R.M., Suga, Jimin, Jin, JungKook, V, and J-Hope.
#Mobile App
Crawling images with Python
Use Python and crawl the BTS images from the Google
(1) using Python
(2) Google images
#Mobile App
Teachable Machine
Created machine learning models from Teachable Machine
https://teachablemachine.withgoogle.com/
#Mobile App
Design
I considered deeply the color, UI, and user experience design. Also, I re-design the images to avoid copyright.
#Mobile App
Insert advertising
Adding Advertising so that I can have small pocket money :)
#Mobile App
Debugging
Conducting debugging to find the errors and works properly
#Mobile App
Publishing
Uploading to Google Play Console and admitting the publish
#Mobile App
Final Application
Check out the final application for BTS AI TEST.
There are two functions: (1) you can take a picture or upload your picture from phone storage. Do not worry that your picture will not save in any database. (2) real-time prediction. This function is a real-time prediction, keep moving around the accuracy of statistics in the application. It needs camera-allowing. Based on the testing, the IOS is not working. Thus, please visit the website to test for real-time predictions for IOS users.
https://btsaitest.netlify.app/ or
https://play.google.com/store/apps/details?id=com.bluebox.btsaitest
