shubham singh

* CNN Image Classifier for Document Management * The project was aimed at creating an application for drawing management in EPCs * The program was implemented using Tensorflow, Python and OpenCV * The Model was able to achieve an accuracy of 94 % * Implemented a System for Helmet and Vest Detection to ensure safety in Plants * The project was aimed at ensuring basic safety standards at plants and construction sites * The application takes input real time feed from CCTV was created * Used Dlibs for face extraction and wrote a multi-perceptron network from scratch for classification * Created an Application to automate the conversion of paper P&ID Drawings to AutoCad * The application was created using Pyhton and OpenCV * Algorithm used was Normalized Correlation and Line Segment Detector * The application was able to recreate 80% of P&ID drawings

* Project : * 1. Business Intelligence Dashboard for Project status - Linking of 3D data of oil plant with material status ,project schedule on Microsoft Power BI to get * insights on the project progress and status throughout the project life cycle . * 2. Project performance Prediction using Machine learning

Project was aimed at "​ Increasing the efficiency of Rectifiers of Switchyard unit from 98.20% to 98.30% by studying and analyzing it's working and construction ".

Activities and Societies: Team Robocon BPGC, Electronics And Robotics Club