AVA: Accessibility and Vision Assistant
Ivan Carrillo, Christian Calonge, Mary Paragas, Nico Solitana
Description
In the age where our lives are tied with the technological advancements, it is not a surprise that most products and services are already being automated and digitized. The financial sector is one of them. Through these automated services, such as online payment and banking services, bank-related transactions have become convenient and easy to access. However, this is not the case for all of us, most especially to the minority who are treated differently— the persons with the disabilities and elderly. Were they considered when these applications were designed? Do they also experience the convenience that most of us do?
Meet AVA
A.V.A or Accessibility and Vision Assistant is a mobile wallet application that has two different modes: accessibility and vision modes.
Accessibility Mode 💜
AVA can function as a screen assistant and is capable of drawing over other apps that are not easy to navigate and access. As your assistant she will perform and automate actions on your behalf with just a voice command. So instead of user painstakingly swiping through the whole screen locating each buttons of his other banking apps. User can now simply say to ava "Transfer money from my savings account to [other account] amounting $100." Ava will then automate the process (SHE CAN TRACK YOUR INTERACTION WITH AN APP OR A HARDWARE SENSOR AND INTERACT WITH APPS ON YOUR BEHALF) by combining all the accessibility features of their device with powerful machine learning.
V-PAY: Mobile wallet 💜
- SIMPLE
Built from the ground up with accessibility in mind by combining talkback feature and haptic feedback with digital signal processing algorithms. - FAST
Action-oriented voice commands and chat features through a combination of machine learning and chatbot. - SECURE
Equipped with anti-fraud features that secure user account using the latest voiceID and touchID technology.
A-EYE: Vision Mode 💜
Designed to identify text, barcodes, banknotes, and documents using machine vision and imaging technology.