
AI ProjectsWeather AIAtmosNet AINeural ForecastingConvGRUTransformer WeatherAtmospheric Simulation7-Day Forecast
AtmosNet AI - Deep Neural Weather Forecasting Platform
An advanced AI weather forecasting system utilizing deep neural models (ConvGRU, BiLSTM, Weather Transformer) for 7-day atmospheric
Beneficiary
Meteorological Institutes, Aviation & Maritime Sectors, Climate Researchers & Smart Cities
Project Year
2025
Project Details
AtmosNet AI is a state-of-the-art neural weather forecasting and atmospheric simulation platform. By orchestrating a hybrid model stack—including ConvGRU Spatial Encoder, Bidirectional LSTM, Weather Transformer, and a Probabilistic Ensemble—AtmosNet converts raw atmospheric inputs into highly reliable 7-day synthetic forecasts. The platform features an interactive Atmospheric Simulation Canvas for tracking cloud cover, wind vectors, and high/low pressure centers in real time, accompanied by preset weather scenarios, confidence metric metrics, and responsive light/dark themes.
Technologies
Python (PyTorch / TensorFlow)ConvGRUBidirectional LSTMTransformersReact.js / Next.jsTailwind CSSCanvas / WebGLChart.js

