💡Inspiration
During inflation and recession, people tend to move to new places, and this app helps them make the most EDUCATED decision. Plan smart and Kindlee.
🗺What it does
It takes specific input parameters from users and processes and gives the states that match the criteria. Inputs such as healthcare facilities, workplace safety, road safety, financial safety, and personal residential safety are rating based on 1-5, 5 being the highest and the monthly expense the user can afford for house rent. Using this data, we return a list of states for them in the USA.
☕️How we built it
Many hours of research of articles by experts in safety, finance, and psychology about the subtle factors that make the difference when deciding when to relocate. During the customer discovering phase, we interviewed three people we found online searching for home-buying advice on refit. We then tailored our application to the most significant concern common among all the people we interviewed. Their biggest fear was the proximity to emergency services and high area gun violence records. We then added what we thought was the essential information to find data for our current list. We use Go and React js for the project's backend—frontEnd on Figma.
😅Challenges we ran into
The first challenge was to deduce a logic for processing data and get the results; one minor hiccup was that we could not install PostgreSQL pgAdmin sent about 2 hrs there and could do it.
🥇Accomplishments that we're proud of
We completed the backend part of the app successfully and could build the logic that we thought of.
🎓What we learned
If we are time bound, then we do things faster and more efficiently.
🚨What's next for Kindlee
We need to integrate the app and add more features such as location share, message sharing, and emergency alarms in the app.
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