# Build Web App to Use Your ML Model
For dis part of di curriculum, dem go show you one practical ML topic: how you go fit save your Scikit-learn model as file wey you fit use to make predictions inside web application. Once you don save di model, you go learn how to use am for web app wey dem build with Flask. First, you go create one model using some data wey dey about UFO sightings! After dat, you go build one web app wey go allow you put di number of seconds, latitude, and longitude value to predict which country report say dem see UFO.
Photo by Michael Herren on Unsplash
## Lessons
1. [Build a Web App](1-Web-App/README.md)
## Credits
"Build a Web App" na Jen Looper write am with ♥️. You fit follow am for [Twitter](https://twitter.com/jenlooper).
♥️ Rohan Raj na im write di quizzes.
Di dataset na from [Kaggle](https://www.kaggle.com/NUFORC/ufo-sightings).
Di web app architecture get some inspiration from [dis article](https://towardsdatascience.com/how-to-easily-deploy-machine-learning-models-using-flask-b95af8fe34d4) and [dis repo](https://github.com/abhinavsagar/machine-learning-deployment) by Abhinav Sagar.
---
**Disclaimer**:
Dis dokyument don use AI transle-shon service [Co-op Translator](https://github.com/Azure/co-op-translator) do di transle-shon. Even as we dey try make am accurate, abeg make you sabi say machine transle-shon fit get mistake or no dey correct well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human transle-shon. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transle-shon.