• Swetha.J
• Leela.R
• Sujatha.A

Utilizing science and technology to forecast the weather in a specific area is known as weather forecasting. It is one of the world's most challenging problems. This project uses predictive analysis to make weather predictions. This calls for examination of various data mining techniques prior to application. This study demonstrates the use of logistic regression techniques for classification and introduces a classifier approach for forecasting weather conditions information about things like temperature, humidity, and wind speed, etc. After comparing the data from the database with the input, this system will use this parameter to forecast the weather. As a result, classification (i.e., training) and prediction (i.e., testing), two fundamental tasks, will be carried out.

Motion Compensation, Motion Estimation, Motion Smoothing, Video Stabilization.

"Foggy Weather Prediction Analysis for Smart Vehicle System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.178-182, December-2020, Available :http://www.jetir.org/papers/JETIR2012426.pdf

"Foggy Weather Prediction Analysis for Smart Vehicle System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp178-182, December-2020, Available at : http://www.jetir.org/papers/JETIR2012426.pdf