Om Nom Nom

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  Our mascot

Inspiration

The problem: precision farming, facilitated by this program, not only enhances crop yields but also contributes to addressing the increasing global demand for food. Of particular significance is the program's impact on communities facing adverse environmental conditions. By empowering them to cultivate crops tailored to their unique soil composition, the program enables communities to maintain a reliable source of food even amidst challenging circumstances.

What It Does

This program is designed to assist farmers in making informed decisions by providing personalized recommendations based on data relating to pH levels, salinity, and mineral content. By leveraging this information, farmers can determine the most suitable crops to cultivate and learn how to optimize their growth sustainably within their specific geographical area.

How I Built It

Using Python to combine the Euclidean distance metric and K-nearest neighbours to make a machine-learning algorithm.

Challenges I Ran Into

Coordinating with my team.

Accomplishments That I'm Proud Of

Making a machine-learning algorithm in such a short amount of time.

What I Learned

Machine learning in Python and how to use Figma.

What's Next for Om Nom Nom

Implementing a genetically modifying function to allow farmers to see how changes in the genes of existing plants can help in allowing their plants to better survive in their environment, adding more plants to diversify the variety, as well as providing information on how to keep the plants alive.

Built With

• figma
• python