The term Heart disease (HD) or Cardio-vascular disease (CVD) refers to several number of heart-related medical conditions. It is based on the irregular heart health that directly affects all its parts. Currently, CVD is the main cause of death around everywhere. It is thus realized how crucial Artificial Intelligence is to the medical field and steps are being taken to use the techniques that are relevant in predicting heart diseases at the earliest and prevent future complications. In this context, several Internet of Things (IoT) based tools, Deep Learning (DL) and Machine Learning (ML) approaches have been effectively utilized for uncovering the main reason behind the death during past several decades. So, there is demanded to develop an integrated system that can combine the technologies by incorporating the inputs taken from various resources like a heart disease database, an ECG report of a patient or any IoT based sensor data taken from an individual. So, here an intelligent integrated prediction-based model has been proposed for early heart disease detection that can alleviate the severity of the disease as well.