abhiyerasi/JBM-Damage-Detection-AI

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Language
Python
Created over 6 years ago
Updated about 4 years ago

abhiyerasi/JBM-Damage-Detection-AI

abhiyerasi

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The Project is regarding classification of damaged spare parts using deep learning

IDV_MaskRCNN_Image_Segmentation

IDV Segmentation Example This is an example showing the use of Mask RCNN in a real application. We train the model to detect Idly Vada Dosa , and then we use the generated masks to predict the new images.

Solar-Power-Prediction

The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of solar energy and accurate prediction can help in better planning and distribution of energy.

CLV-Auto-Insurance

A major non-life insurance company wants to evaluate customer lifetime value based on each customer’s demographics and policy information including claim details. The CLV is a profitability metric in terms of a value placed by the company on each customer and can be conceived in two dimensions: the customer`s present Value and potential future Value.

Hospital-Readmission

The major drawback in the health care industry when coming to medical facilities is that when a person who was been discharged after treatment and readmits to the hospital with in a stipulated amount of time. This leads to severe image damage of the hospitals. In order to avoid the readmission of the treated patient with in that time period we will be going to make a model to predict the readmission of the patients. So, that a proper action can be taken in order to take a precautionary action to reduce the patients from readmitting.