View Proposal
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Proposer
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Inkar Zhumay
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Title
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Web-Based Short-Term Air Quality Forecasting and Analysis System
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Goal
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To develop a web-based system that uses time-series forecasting and machine-learning techniques to predict short-term urban air pollutant concentrations and support public health awareness
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Description
- For Aktobe Students Only.
Develop a web-based air quality forecasting and analysis system using historical pollutant measurements from one or more monitoring stations. The system will allow users to explore historical concentration patterns, visualise pollutant levels against meteorological conditions, and generate short-horizon forecasts using multiple statistical and machine-learning models.
- Resources
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Background
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Inkar Zhumay
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Keywords
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air quality forecasting, time-series forecasting, machine learning, web-based system, environmental monitoring, data visualization
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Degrees
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Bachelor of Science in Computational Sciences and Software Engineering