Inspiration
While large cities like Prague and Brno have strategic plans to become smart cities, we must not forget that 80% of the population lives elsewhere
What it does
Using AI-powered self organizing maps, we can find surprising similarities between cities and municipalities in order to connect those that are facing similar problems.
How we built it
AI Algorithm
- Python
- Julia
- Libraries like SciPy and Matplotlib
Backend
- Java
- Spring
Frontend
- AngularJs
- Corpis maps
AR App
- Kotlin
- Vuforia AR API
Challenges we ran into
Mostly frontend and backend integration plus showcasing in Corpis Maps
Accomplishments that we're proud of
Working out the logic of self organizing maps
What we learned
We are thrilled to have learned and tried out the self-organizing maps approach, which was a completely new concept for us.
What's next for SMAPRT
The tool can further be refined to include more and better datasets, but it can already be of some use for municipalities and NGOs wishing to analyze cross-country municipality data in Czechia
Built With
- angular.js
- java
- julia
- kotlin
- python
- scipy
- vuforia
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