The world needs sustainable agriculture to support the growing global population. The advancement of AI can be leveraged to produce the results needed
What it does
It collects data from famers and combines it for predictions
How we built it
We build it using python flask, react and mysql.
Challenges we ran into
Lack of adequate data for testing predictions and equipment for getting the data.
Accomplishments that we're proud of
The application works seamlessly
What we learned
Failure is the seed of success
What's next for AgriAdvisor
Scaling and integration of more data APis
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