Inspiration

Out of all the tracks we could have chosen, the one that spoke to us the most was 'Harvesting Insights' because it relates to our everyday life. Seeing the current state of California with its immense heat during the Summer, we believe that water is the key to bringing life for our desert land and making sure that we still maintain a beautiful environment.

What it does

Our website is simple, all you have to do is input your location and then pick what type of plants you want to grow. Then, you will be taken to a page that will show you how much water you should use each day for each plant. There are also more details on when you should water the plants and what the temperature is predicted to be like in that area. We made sure to keep our user interface as simple as possible to remove any technical barriers when using the website.

How we built it

The frontend of the website was built using the ReactJS Framework and Tailwindcss which go hand in hand in creating a neat and fast loading page. The data from NASA is processed and stored using Jupyter Notebook (Python) and then transfered over to ReactJS so that the data can be used for water calculations.

Challenges we ran into

The biggest challenge we ran into was trying to analyze the data from NASA through visual means since this was the first time we have done anything like this. We needed to be able to convert an image of the global heatmap into readable data for our script. Moreover, we needed to figure out a way to read the image so that it can be compared to real latitude and longitude coordinates.

Accomplishments that we're proud of

We are happy and proud that we were able to finish this project with all the features that we originally envisioned. With all the school work and activities that we had, it was a surprise that we were still able to divide time to do this and even finish it!

What we learned

One of the coolest things we learned was how to use the Google Earth Engine which allowed us to visualize data on the global map and focus on specific regions of the map. We also learned how to extract that data and process it using Python.

What's next for Irrigation Helper

After seeing the results of this Hackathon, we might decide to further expand and grow the website by giving users a chance to use the product and add more features such as a land scanner to get the surface area of the plants and determine how much water it needs in total.

*p.s https://lightblue-frog-229996.hostingersite.com/ is the domain to our website for now because we did not pay for a custom domain name.

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