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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