Continuous calibration, interpolation and predictive analytics using Machine Learning
The company provides devices to measure quality of curing light used in dental procedures. These devices produce high volume and high velocity data. This data is then used to forecast a future state and to make a well informed business/operation decision according to an expected future state. One of the challenges in application of such technology is to improve prediction accuracy of the forecast. The company has developed prediction models based on physical chemistry that have been very useful to both the vendors and dentists. This project will design a generalized framework based on machine learning and artificial intelligence methodologies to improve prediction accuracy that will ultimately result in reduced operating costs and higher yields in dental procedures.