Forecast IQ
Analytics Project
Forecast IQ
Weather Forecasting & Climate Analysis
Time Series Analysis for Meteorological Predictions
Developed and deployed a weather forecasting application utilizing forecast data from time series analysis techniques.
Project Deep Dive
Project Overview
Forecast IQ is an advanced weather forecasting application that leverages sophisticated time series analysis techniques to predict weather patterns and climatic conditions. The system combines historical meteorological data with real-time weather information to generate accurate short-term and long-term forecasts.
The application employs ARIMA (AutoRegressive Integrated Moving Average) and SARIMA (Seasonal ARIMA) models to capture both linear trends and seasonal patterns in weather data. Advanced signal processing techniques, including Fourier Transform analysis, are used to identify cyclical patterns and periodic components in meteorological time series.
The user-friendly Streamlit interface provides interactive visualizations and forecasting tools that make complex meteorological analysis accessible to both professionals and general users. The system includes comprehensive exploratory data analysis (EDA) capabilities for understanding weather patterns and climate trends.
Forecast IQ demonstrates the practical application of statistical modeling and time series analysis in solving real-world prediction problems, showcasing the effectiveness of classical statistical methods in modern data science applications.