Inspiration
Happy Farmer | Happy Nation Create a more sustainable farming system Increase the yield of low-harvest regions
What it does
Identifies the best fertilizer match for a low-yield region in large-scale farming
How we built it
Python SciKit Learn Seaborn React Flask Bootstrap.
Challenges we ran into
Building the full-stack ML application was challenging. It was truly challenging to build this web application from scratch despite knowledge gaps and differences in opinion
Accomplishments that we're proud of
Learning various aspects of developing a full-stack Machine-Learning application
What we learned
Team collaboration Saying no and accepting feedback Building full-stack ML application
What's next for Data-Driven Fertilizer Recommendations
Collect real-time data and increase the robustness of our ML algorithm Integrate our model into existing Agri-Tech
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