Our work in ML and AI has covered several domains like image analysis for wounds, stock predictions, user recognition for insurance (neuro networks and confusion matrix to check the accuracy of bot), sports club management, claim prediction, audio synthesizer, patient engagement solution, credit card and loan application and child abuse.
smartData developers expertise on Django and Flask and have good experience of working on data analysis and predictions in web development and digital enterprises applications for ERP, eCommerce marketplaces, edtech, and financial services.
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Heart Disease Diagnosis
A model is trained over raw data from open source to predict if a person has heart disease. It has 4 levels of prediction based on severity level, approx. 14 different features were used to train the model. Use of prediction model with sklearn helped achieve accuracy up to 80%-85%.