Inspiration
In 2019 our team participated in the CSA space apps challenge. Although we won the regional competition, we fell short of winning the national round. SCISAT remastered compensates all the places we lacked when we participated.
What it does
This is a website that visualizes thousands of concentration data points from Ozone gas in the atmosphere. We also provide a public api endpoint, for any individual to use our database.
How we built it
We made it using web technologies like node js, express js, Mongodb. The data was parsed and inserted the Pandas python framework. Our plot is generated with Canvas js.
Challenges we ran into
Querying the database based on time strings, and in general keeping the team motivated. Handling api calls to large datasets.
Accomplishments that we're proud of
We have managed to address all the requirements that we fell short of previously.
What we learned
Through this challenge we learned how to work with back ends, deploy to the cloud, how to make apis that are RESTful and how to divide modules and tasks so that we don't face compatibility issues.
What's next for SCISAT Remastered
Not sure what the future holds for this project. But we like to have some statistical analysis tools on our website as well.
Built With
- canvas.js
- javascript
- mongodb
- node.js
- python
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