Users can interact inside the app and reach out to each other.
Users have quick ways of supplying information to the community and their insurances.
The app fosters solidarity in communities.
Farmers are supplied with recent risk assessments.
Insurances can act proactively on threats.
Helping farmers and communities to address the impact of natural catastrophes
What it does
Our application uses data from the IBM cloud along with machine learning algorithms to predict risks for farmers. This mobile application provides alerts and actionable tips to farmers, so that they can take action to mitigate risks before - or to get assistance easily and quickly after a disaster. The farmers can use the application to chat with other farmers in the community and interact with a friendly chatbot. The whole ecosystem consisting of local governments, experts, insurance companies and farmers is connected through the app. These actors share their actions on the blockchain for a transparent exchange of information and use of finances.
How I built it
data from IBM cloud, applications/api from IBM, python, google maps, public data
Challenges I ran into
Inability to download large datasets or relevant datasets.
Accomplishments that I'm proud of
Brainstorming effectively on creative ideas.
What I learned
The power of community The business model of insurance companies, particularly that it is profitable for them to invest funds in preventing risks for their clients and the win-win result out of this. IBM Watson assistant technology and IBM Cloud
What's next for PeaceOfCrop
Becoming a unicorn! ....after a good night's sleep.