Скачать или смотреть Predicting Air Quality Index (AQI) | TensorFlow Models Demo

Description:
Welcome to our AQI Prediction App demo! Join us as we explore how machine learning can forecast Air Quality Index (AQI) using TensorFlow models. This interactive Streamlit application allows you to input key environmental metrics like PM2.5, PM10, NO2, CO, O3, and SO2, then predicts the AQI of a city in real-time.

Project Link: https://github.com/ShubhamKNIT/AlgoMinds

What You'll Discover:

Predictive Power: Witness how advanced machine learning models can estimate AQI levels based on pollutant concentrations.
Model Selection: Choose from different TensorFlow models tailored to various complexities, each trained to capture unique patterns in environmental data.
Color-Coded Results: See AQI predictions color-coded for easy interpretation, indicating air quality categories from 'Good' to ‘Severe’.
Insights and Visuals: Explore visualizations and explanations that demystify AQI prediction processes.
Whether you're interested in environmental science, machine learning applications, or simply curious about AQI forecasting techniques, this video provides insights and a hands-on demonstration.

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