The Big Philly Meetup MashUp brought together people from across Philly to work on projects related to a 'Good Neighbors' theme. 

Working with Malcolm Stanley, Em Podhorcer, and Karl Ericksen, our project envisioned using AI in a practical way to help people challenged by poverty and low literacy navigate the array of available services and its myriad differing schedules and restrictions.

In six hackathon hours we built a native iPhone app with a voice-first and icon-based UX connecting to an intelligent back-end which can interpret requests for help and respond with timely and appropriate suggestions regarding currently available resources and directions on how to get to them.

Our project won the Most Helpful Use of AI — Signature Category award sponsored by OmbuLabs.ai. As a team we want to thank the judges and Ombulabs.ai for this important validation of our concept and execution.

The open source repo can be found at https://github.com/amstanley/PhillyHelpJawn. Malcolm made this video.

I'm using a low-code AI tool to design an app that allows the user to enter contact information and rate their relationships as follows:

• A = Strong work friendship

• B = Solid work friendship

• C = Weaker connection

• D = Target connection (important but you don't know them yet)

Next stage: On demand, the user can request four names, one from each category, and the app will suggest a few questions the user can ask, based on the type of relationship. 

I used a Miro board and sticky notes to draft the design. Then, I used Lovable to brainstorm the design.It generated a prototype, but then I ran out of credits! 

Tools: Miro whiteboard, Lovable low-code, no-code AI tool.