iAssist

Front page.
Desktop View
Admin View

Inspiration

In terms of accessibility, public transportation and public spaces (mostly parks and outdoor spaces) have been documented by New York City and other organizations -- we can easily find, through a quick Google search, which subway stations and which public parks are accessible. However, there's insufficient information in this regard for all of the in-between spots, e.g. restaurants, grocery stores, etc. Keeping those with visual and/or mobility impairments in mind, we hope to make everyday exploration a bit friendlier for those demographics.

What it does

_ Mobile/Web App _ 1) Provides accessibility information for buildings around the user's current geo-location via voice recognition.

_ Crowdsourcing _ 2) Allows the community to contribute to a central database with important information, such as elevators, wheel ramps, number of floors, building name, address, geo-location via coordinates.

How we built it

_ App: _ Adobe XD for the front-end prototype with multiple "screens", and voice recognition commands.

_ Crowdsource Site: _ HTML & CSS for markup language, heavily supported by Bootstrap, PHP as the backend programming language, and MYSQL for Database.

_ Data Collection: _ Google Maps API with Python to collect data such as surrounding buildings, current location and storing them into a JSON file, for the Crowdsource Site to mainly feed from, as well as hypothetically the app.

Challenges we ran into

Initial Approach on how to face the challenge, then integrating each component of our project, and facing poor documentation and inconsistent data from Google.

Accomplishments that we're proud of

Building a prototype that (sort of) works, and using multiple languages and databases to empower and help those with accessibility issues.

What we learned

Better understanding of APIs for all languages and platforms.

What's next for iAssist

Stay tuned for the next hackathon.

Built With

Submitted to

Lehman Hacks
- Winner Judge's Choice: 2nd Place

Created by

I worked on the web based dashboard that helped get the information from the users of the crowd sourced platform. I used HTML, CSS, JavaScript and Boot strap 4. And I also assisted on the Adobe XD prototype by helping out on the wireframing and events one by one.

Kevin J
I manually created the database that was used in the implementation of our App and website using MySQL

Peter Farquharson
Helped created and design a prototype app using adobe xd for individuals with disabilities through a voice recognition system.

Davian Farquharson
After Sasha was able to consolidate and gather data from Google Maps API and store it via JSON. I was able to gather such information and store it on our front-end mockup site. I created the dashboard with the help of Kevin, and mainly used PHP to support the backend. Also helped with developing the Adobe XD Mockup, with Vocal Recognition and Speech Playback.

Jeffrey A. Mathew
sasha