• VAISHALINI S
• THARANI K
• YAMINI M C

Rainfall becomes a significant factor in agricultural countries like India.There are mainly two approaches to predict rainfall : Empirical method and dynamical method. the empirical approach is based on analysis of historical data of the rainfall and Its relationship to a atmosphere variety of variables over different parts of the world. Floods are among the most destructive natural disasters which are highly complex to model.There search on the advancement of flood prediction models contributed to risk reduction policy suggestion minimization of the loss of human life and reduction the property damage associated with floods To mimic the complex . mathematical expressions of physical processes of floods during the past two decades neural network methods contributed highly in the advancement of prediction. systems providing better performance and cost-effective solutions To prevent this problem to predict flood happen or not by rainfall datasets with investigate the SMLT based technique.

dataset, python, preprocessing, Algorithm Calculation.

"RAINFALL AND HUMIDITY PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f118-f121, June-2022, Available :http://www.jetir.org/papers/JETIR2206516.pdf

"RAINFALL AND HUMIDITY PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf118-f121, June-2022, Available at : http://www.jetir.org/papers/JETIR2206516.pdf