omarmhaimdat/air_pollution
Build an iOS Application to Predict Air Pollution Using a Random Forest Regressor
This project helps developers build an iOS application to predict daily air pollution levels for a specific city. By inputting historical PM2.5 particle data, it generates a predictive model and an API. The output is a prediction of future PM2.5 levels, which can be integrated into a mobile app. This is for iOS app developers looking to incorporate environmental data prediction.
No commits in the last 6 months.
Use this if you are an iOS developer wanting to integrate real-time air quality predictions into a mobile application using a pre-built machine learning model and API.
Not ideal if you are looking for a ready-to-use air pollution monitoring application or a general-purpose environmental data analysis tool.
Stars
7
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 22, 2020
Commits (30d)
0
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