Forecasting natural disasters in the long term

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  home page

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  Graph 1

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  Graph 2

Inspiration

I was looking for something that could be done by data science, that's why I chose this project

What it does

The project analyzes natural disasters using a database, applying linear regression to make predictions.

How we built it

I used Python for data analysis and to create the website. The data was sourced from an online database, and I also used ChatGPT to assist in the process. (Note: The accuracy of the data and the specific natural disasters included are uncertain.)

Challenges we ran into

One challenge was integrating the website with the database and graphs. I ultimately decided to display the graphs in a separate window rather than within the browser.

Accomplishments that we're proud of

I liked the final result and how the website and application work together, enhancing usability and simplifying code modifications.

What we learned

While I didn’t learn anything particularly groundbreaking, the topics were relatively new to me, which made it a valuable experience.

What's next for Forecasting natural disasters in the long term

I plan to improve speed, classify data by category, and implement several other enhancements.

Built With

• csv
• flask
• matplotlib
• numpy
• pandas
• python
• sklearn