Business Process Analyst @SLB
An Engineer who creates content and likes social media.

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Bilwa Gaonker  • Peerlist

This project aimed to train a neural network - deep neural network to identify the 14 diseases from the NIH Chest X-Ray dataset. This dataset is very huge containing almost 100000+ frontal images of the X-ray .The dataset had to be preprocessed as it was very biased with the number of X-Rays that indicated no findings. The Neural network used in this project was MobileNet.This CNN would distinguish the different features of the images and classify them accordingly. The accuracy given by the MobileNet after training it more number of times over 5epochs is 80%

Thoracic disease detection using Deep learning

Main motive of the project is to check the nutrients of soil using colour sensor and also watering the plants based on the moisture and temperature collected from the sensor. NPK (Nitrogen Phosphorus Potassium) can be determined on basis of

Detecting nutrient deficiency in Plants using IoT

The need of safety for our homes can be accomplished by making the locks more electrical and coping up with the upcoming technology of internet of things. This idea is not just confined to the small spaces but also the large spaces like ind

Bilwa Gaonker

Business Process Analyst @SLB An Engineer who creates content and likes social media.