Download DIY Learner APK latest version Free for Android
| Version | 1.17 |
| Update | 8 years ago |
| Size | 29.05 KB (29,749 bytes) |
| Developer | ibsoft |
| Category | Apps, Productivity |
| Package Name | com.ibs.dict |
| OS | 1.6 and up |
DIY Learner APPLICATION description
If you are learning a new language, this app is designed for you. The purpose of this app is to let a user to build his/her own language dictionary. The app has the following features :
1. A general designed database is created that can do common database operation such as add, update, delete etc. and the content of the database is fully searchable. This means that you can easily recall what you had learned in later time.
2. An interface which we called 'drawing recognizer' is provided for searching the database. This new interface is a result of our company's project that uses A.I. technology. User make a drawing on a square-sized canvas and the 'drawing recognizer' treats the drawing as an image input and then try to guess what the user had been drawn through learning in real time.
3. Another interface which we called 'sound recognizer' is provided for searching the database. This interface uses the same technique that we used in drawing recognizer but this time on sound. User speak through the microphone as an input and then the recognizer would try to guess what the user had been spoken through learning in real time.
4. A small example dictionary for travel is included on the app to demonstrate how the app is function.
1. A general designed database is created that can do common database operation such as add, update, delete etc. and the content of the database is fully searchable. This means that you can easily recall what you had learned in later time.
2. An interface which we called 'drawing recognizer' is provided for searching the database. This new interface is a result of our company's project that uses A.I. technology. User make a drawing on a square-sized canvas and the 'drawing recognizer' treats the drawing as an image input and then try to guess what the user had been drawn through learning in real time.
3. Another interface which we called 'sound recognizer' is provided for searching the database. This interface uses the same technique that we used in drawing recognizer but this time on sound. User speak through the microphone as an input and then the recognizer would try to guess what the user had been spoken through learning in real time.
4. A small example dictionary for travel is included on the app to demonstrate how the app is function.
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