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The decrease air quality in the biosphere layer is a serious impact due to the effects of globalization and urbanization. Air pollution levels in many cities exceed legal threshold which can increase humans affected from respiratory disorders such as asthma, lung disease and increased mortality. In some big cities in Indonesia, people not realize of the pollution level they face in their daily life and it can be ‘silent killer’ to people. This is necessary to reduce the risk of poor air quality conditions. The quality of air can be measured by using a parameter named Air Quality Index(AQI). The key pollutants to calculate AQI are particulate matter Ozone (O3), Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2) and Carbon Monoxide (CO). This projects deliberates the implementation of prediction and analyzing system for air quality monitoring using smartphone camera device and combine it with environmental condition like temperature and humidity. The obtained information and data can be updated in cloud platform. With the collected time series samples, the prediction analysis was done with neural network Multi-Layer. This can helps user monitor AQI-Level in their environment through a smartphone that always updates air condition based on database in cloud every few hours. 

PreAir : Predict Air Quality Index

Machine Learning Engineer & Data Scientist | Bangkit Academy Machine Learning Path 2022

Zarek Gema Galgani

Meniti Karier sebagai Software Developer

Dicoding Indonesia

DeepLearning.AI TensorFlow Developer

Coursera

TensorFlow: Data and Deployment Specialization

Structuring Machine Learning Projects

Mathematics for Machine Learning

Google IT Automation with Python Specialization

Pengenalan ke Logika Pemrograman (Programming Logic 101)

Memulai Pemrograman Dengan Python

As a recent Computer Science graduate with a passion for cutting-edge technologies, I am eager to contribute my skills in machine learning and deep learning to drive innovation and solve real-world challenges. My academic journey has provided me with a solid foundation in computer science principles and programming, and I am particularly drawn to the fascinating world of machine learning, where I can apply my expertise using the TensorFlow framework to develop intelligent solutions. In addition to my passion for machine learning, I am keen on exploring new technologies and staying up-to-date with the latest advancements in the field. I find joy in tackling complex challenges, and I am always eager to learn and grow in a collaborative environment.

Universitas Dian Nuswantoro

SMA Negeri 4 Semarang

Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka

Bangkit Academy Machine Learning Path

Machine learning engineer path student and capstone team project. Help to manage team timeline project and build TimeSeries model at PreAir Capstone Project. Joining in developing with others machine learning engineer in team to create ImageClassification for detecting Air Quality Index in PreAir Capstone Project.

Graduate with Score(Grade) : 88.8 (A)

Indonesia

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