This document describes a mobile app that aims to help non-native speakers in Western New York overcome language barriers by allowing for real-time translation between two users via either Google Glass or a mobile phone. The app uses speech-to-text, server-based translation, and text-to-speech to enable conversations, as well as face recognition for pairing users, though the developers acknowledge challenges with translation accuracy, registration steps, and recognition speed.

1. Glass
Translator

2. Targeted problem
 There are a lot of non-native people in WNY area
 They may come to study in university, as tourist or do bussiness
 They need to communicate with native people
 But language barrier can be a big problem......
 We hope, with our app, we can overcome the language barrier

3. Our approach
 An app that can run on both google glass and mobile phone
 Simple dialog pairing method by face recognition
 Speech to text, send to server, translate, send to the other people,
then text to speech
 Translate is fast and can be comparable to human translator on
translate speed

4. Our struggle
 Though our approach can solve the language problem well, it still
have some defect
 The translation accuracy is still not perfect
 Still need user registration
 Face recognition still takes time

5. Thank you!
 We are still working on the project to make it even better!

6. Thank you!
 We are still working on the project to make it even better!