- Main inspiration: Accessibility - to provide disabled people, especially the visually challenged, with the ability to be able to receive messages even with their impairment.
- This is especially important in the learning environment in promoting academic success.
- Prescriptions written by doctors can also be useful in this aspect, which has potential to help reduce walk-in waiting times.
What it does
- In a nutshell, this app allows the user to take a snapshot of a particular image that contains text.
- It then parses it to a string text file, which in turn would turn it to speech.
- The app will have a collection of past images that have been converted to speech, for future reference.
How we built it
- We first built an interface, which includes a floating action button that allows the user to take a snapshot of the image which contains text.
- We then fed this image file to Microsoft Azure API to parse it into text file.
- This text file, we then fed this to the text-speech feature of the IBM-Watson to convert it into speech.
Challenges we ran into
- APIs not working as expected
- Low experience with the Android Studio IDE (at least for some of us)
- Time constraints
- Sleepless nights
Accomplishments that we're proud of
- Fun times
What we learned
- The use of APIs such as IBM-Watson and Microsoft Azure, including their features
- The use several tools such as Java and Android Studio
What's next for ManuSpeech
- Improving the UI
- Making it compatible with accessibility hardware
- Options to share text content