Inspiration
Results from a hackathon.
What it does
AirFlow was a project that sought to take traffic density data, as an entry point and proof of concept, and transform it into usable 'plan of action' data.
How I built it
I was part of a team that secured an AI4Earth grant to seed the effort. The team split into groups to identify viable data sources into a theoretically sound prototype. We used azure traffic data as an input into basic route navigation. The big win was being able to move to a 5 m^2 resolution. I also participated in an entrepreneurial competition for the project where I recruited team members and developed collateral for the team.
Challenges I ran into
The project took too many resources to complete. That was in part to a huge domain learning curve and academic journal search that attempted to stitch together the scientific basis of the api service. When a barebones prototype was complete, I began talking with people to reach initial customer groups; however promises made by key contacts were luke warm and stalled the effort.
Accomplishments that I'm proud of
That I had progressed so far on such a project.
What I learned
1) People need clear exit points for such ambitious projects, otherwise unstated expectations will have team members drop out with notice, which affects team morale adversely. 2) On the business side, there are folks who believe that the market comes first, whereas health service apps, such as AirFlow, need to demonstrate that potentials can be achieved. Potential network partners wanted to see it operate beyond a mere sketch on a screen.
What's next for AirFlow
The project was closed out and presented to a firm for future development.
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