Python framework for short-term ensemble prediction systems.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Advance warning system for flood with rainfall analysis
Rainfall Prediction using Machine Learning. India Rainfall Prediction for 115 years. Rainfall Project with Code and Documents
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to the extreme climate variations. Machine learning techniques can predict rainfall by extracting hidden patterns from historical weather data.
Environmental Studies (P/F course) - End Semester Project
The main motive of the project is to predict the amount of rainfall in a particular division or state well in advance. We predict the amount of rainfall using past data.
Explore our tools to make informed agricultural decisions.
Linear Regression , Cross Validation, k-mean clustering , Watershed , Gradients and Edge Detection , threshold , Correlation , Neural Network, Conventional Neural Network , Pneumonia Classification, Social Distancing, Rainfall Prediction, Boston Housing Price Prediction.
cloud burst prediction website rendered using streamlit from a pretrained ml model
To predict there were rainfall tomorrow or not
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
In this project we see time series analysis Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict the rainfall in Udaipur district of Rajasthan, India.
so in this project we made rainfall prediction machine learning model by using flask web framework and deployed on azure web app services.This model uses Australia 9 years historic data to forecast chances of rain based on wind gust , humidity and time.
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