The AliceSpeaks™ application is an iOS native build using emerging technologies. These include the Apple Vision and Machine Learning frameworks to identify items. Once done the application will then allow user to tap on the speech button to have the identified item stated out loud in english and translated in a user selected language of choice.
- Once the application is installed on the device the user simply opens the application to see the UI.
- In the bottom center of the app you will notice something called the 'Speech' button. Once tapped the device will attempt to identify the item along with a textual and audio representation in english and a selected translation language.
- All the way in the bottom right corner users are able to tap on the 'Language Selection' button to be brought to a selection menu.
The Vision framework performs face and face landmark detection, text detection, barcode recognition, image registration, and general feature tracking. Vision also allows the use of custom Core ML models for tasks like classification or object detection.
Core ML 2 lets you integrate a broad variety of machine learning model types into your app. In addition to supporting extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalized linear models. Because it’s built on top of low level technologies like Metal and Accelerate, Core ML seamlessly takes advantage of the CPU and GPU to provide maximum performance and efficiency. You can run machine learning models on the device so data doesn't need to leave the device to be analyzed.
The Google Cloud Translation API can dynamically translate text between thousands of language pairs. The Cloud Translation API lets websites and programs integrate with the translation service programmatically. The Google Translation API is part of the larger Cloud Machine Learning API family.
- Webpage
- NeoWare Webpage
- Alice iOS App
- Alice Android App
- Telegram
- Youtube
- Github
- Medium
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