After working on the  model building, the next step in the machine learning life cycle is usually the deployment in the real-world scenario to perform actionable tasks. In most cases, the model is deployed via the  web interfaces, android apps, or IoT. Where the website deployment requires a lot of extra effort to set up the front-end, android apps seems a reasonable solution, and that too when the app is built in Python! In this article, I will walk you through building apps using Python, which will be a cross-platform application, meaning it can be converted into android apps and IOS too.

Overview of the Article

• Introduction to the problem statement
• Developing the API
• Kivy and Kivymd Basics
• Finishing the App
• Conclusion

#machine learning #python #android