Inspiration
We were inspired by creating a solution for JB Hunt's problem space through the integration of modern technologies.
What it does
Our solution is an elegant and effective way for users to tackle the issues related to parking in the modern world through the use of modern technologies
How we built it
Using an image processing model, we isolated open spots and using a normal distance equation, we found the closest spot to a given building. We developed both an Alexa skill and an android application for interfacing with the data through the API hosted on google cloud.
Challenges we ran into
We had a lot of issues with Alexa skill since it is something we had never worked on.
Accomplishments that we're proud of
Development of the Alexa skill and doing interfacing through multiple fronts to build a full-scale project
What we learned
We learned how to develop an Alexa skill
What's next for ParkingHunt
Some of the potential developments for ParkingHunt would be
Active parking spot monitoring and sending push notifications to the users via the android app
Notifications using predictive analysis to prompt the users to take action and automate this process every day based on a set schedule
Selective parking suggestions based on user specifications
Built With
- alexa
- android-studio
- deep-learning
- google-cloud
- google-colab
- google-compute-engine
- java
- mpandroidchart
- opencv
- python
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