Heart disease prediction is treated as most complicated task in the field of medical sciences. Thus there arises a need to build a decision support system for detecting heart disease of a patient. Almost all system predicting heart disease use inputs from complex tests conducted in labs. In this project we are developing a system which will predict heart based on the risk factors such as tobacco, smoking, alcohol intake, age, family history, diabetes, hypertension, high cholesterol, physical inactivity, obesity. These common risk factors can be used effectively for diagnosis of heart disease [1]. System based on the such risk factors would not only help medical professionals but it would give patients a warning about the probable presence of the heart disease even before he/she visits a hospital or goes for costly medical checkups.

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The premise of our paper is with the help of Machine Learning, we aim to develop a comprehensive rating system using the predicted outcome of weather prediction and an individual's credit history. With our system, an individual could find out the likelihood of the ability of fulfilling the loan undertaken, similarly financial institutions can use the system to find out the likelihood of the credit being repaid and the individual's eligibility of the maximum credit. The demand of agriculture sector has increased due to large population in India. It has become essential to consider effective technologies in agriculture. Through our portal, the idea is to develop an algorithm via machine learning would give a rating on a scale (0-10), which would determine the eligibility of the farmer being able to fulfill the loan. Through our portal, we will try to inform farmer and banker what all changes in weather are taken place and climate of all the region. Our portal uses the past forecasted raw data of few year to predict the recent forecast.