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Machine Learning - Android Project that displays the predicted delay time of multiple flights based on the MM/DD and flight schadual

License: MIT License

Kotlin 94.80% Java 3.06% Python 2.15%

flight_delay_estimator's Introduction

Flight Delay Estimator

A Flight Viewer application that uses Machine-Learning model to estimate the upcoming delay on each flight acroding to Time of departure, arrival as well as Day and Month of the flight. The project was made with jetpack Compose.

Project's KeyPoints

Machine Learning
JetPack Compose
Jython
Chaquo
Pickle

Built with

Kotlin: Default language used to build this project
Jetpack Compose: Jetpack Compose is Android's recommended modern toolkit for building native UI. It simplifies and accelerates UI development on Android.
Chaquo: Python SDK for Android, Full integration with Android Studio's standard Gradle build system.
Pickle: The process whereby a Python object hierarchy is converted into a byte stream

ScreenShots

ScreenRecording

Notes

Model file is included in assets file .pkl
python Runner is the gate of calling the init.py python file to make prediction from model
when using sklearn to train ML model make sure that you're using sklearn.__version == 0.24.1 as this is the lastest version supported by Chaquo project

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