Interview With Ai/ml Researcher: Venkata Ravi Kiran Kolla On His Approach For Accurate Weather Prediction

Venkata Ravi Kiran Kolla is a distinguished figure in the field of Artificial Intelligence and Machine Learning, renowned for his groundbreaking contributions to the intersection of technology and human progress. Weather forecasting is the software of technology and era to expect the country of the environment for a given region. The overall process involves steps such as data input, reduction of bias and variance, training the model, improving the accuracy, and combining the prediction of multiple models to make the final prediction. The pattern recognition will help in forecasting weather for Air visitors, Marine, Agriculture, Forestry, navy, and military and many more scenarios. The major data sources are temperature, humidity, and wind which were captured using historical weather data, satellite imagery, radar data. As for the model architecture, Convolutional Neural Networks (CNNs) were used for image-based data and Recurrent Neural Networks (RNN) were used for time series weather data. Deep learning models are used to make more accurate predictions by using complex algorithms and architectures.