An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)

🔋 Predict battery State of Health (SOH) with a cutting-edge model using time series decomposition and transformer methods for accurate results.

Deep learning-based Air Quality Index forecasting for Bangalore using GRU neural networks. Predicts AQI for the next 7 days with 70% accuracy (R²=0.70). Built with TensorFlow/Keras.