Environment & Climate Prediction AI 1.0.0

By integrating global environmental datasets, advanced AI-powered analytics, and scientifically validated methodologies, this application delivers robust predictive modeling through an intuitive and user-friendly interface. It democratizes access to environmental intelligence, enabling informed decision-making and deeper understanding of sustainability challenges.
Key Features
- Comprehensive Environmental Analysis
- Analyze over 20 essential environmental parameters, including:
Core Metrics
Temperature, ozone levels, wastewater volume, waste generation
Resource Management
Recycling efficiency, landfill usage, water quality index
Demographics and Environment
Population density
Atmospheric Conditions
Air quality index, atmospheric pressure, precipitation, humidity, wind speed
Emissions and Energy
Carbon emissions, solar radiation, urban heat intensity, noise levels
Ecological Indicators
NDVI (vegetation index), UV index
Custom Parameter
User-defined environmental metric
Preloaded Global City Datasets
Begin analysis instantly with preloaded datasets covering major global cities, including Amman, Vienna, Tokyo, Nairobi, London, New York, Cairo, Mumbai, Mexico City, Cape Town, Paris, Berlin, Sydney, Shanghai, Los Angeles, Dubai, Moscow, Sao Paulo, Toronto, and Seoul. These datasets provide a foundation for comparative environmental studies across diverse urban regions.
Interactive Visualizations
Transform complex data into actionable insights using dynamic visualizations such as:
- Line charts
- Area charts
- Bar graphs
- Scatter Descriptions
Three-dimensional surface models
These tools facilitate detailed exploration of environmental trends, supporting both academic research and policy decision-making.
AI-Powered Forecasting
Harness advanced predictive capabilities using five sophisticated AI-driven models:
- Linear regression for trend analysis and baseline predictions
- Random forest to capture complex, nonlinear patterns
- Polynomial regression for modeling curved environmental trends
- ARIMA for time-series forecasting with historical dependencies
- Neural networks for deep-learning insights into highly intricate environmental relationships
Seamless Data Management
Effortlessly import CSV datasets for independent analysis and export professionally formatted HTML reports for documentation, collaboration, and presentation.
Designed for Precision, Built for Impact
Whether for academic research, urban planning, sustainability studies, or climate policy, Environment and Climate Prediction AI delivers high-quality data visualization, forecasting, and analytics with a focus on usability and accuracy.
This is more than an application-it is a scientific tool built for real-world environmental insights and sustainability solutions.
System Requirements
Windows 10 version 17763.0 or higher (64-bit)
Microsoft Store - Full Version
Home Page -

https://apps.microsoft.com/detail/9mvzrb43ffk7?hl=en-US&gl=US