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rahulkumar-datascientist

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The work carried out in this project is in relation to my master's degree thesis. The project involves the task of analysing the data coming from Photoplethysmogram (PPG) and a single-lead Electrocardiogram (ECG) which are the 2 different methods of monitoring the heart's electrical activity for detecting and classifying the Silent Atrial fibrillation which is a type of heart arrhythmia from the normal Rhythmic heartbeat using an LSTM network.

SuperMarket-Billing-System

The project entitled SUPERMARKET BILLING SYSTEM is a pilot project which is implemented in C++ platform to make supermarket administration easy, save accurate records and time. Its application is to calculate how many products are sold and to generate the bill for the customer. This Program is mainly to Create Product, Display All Products, Query about the Product, Modify Product, Delete Product and View Product Menu, employing various OOP concepts such as Data abstraction, Inheritance and usage of structures and classes.

C++

Brain-Tumor-Localisation-using-Grad-CAM

This repo focuses on detecting Brain Tumor(s) from MRI Scans and identifying the neurons which correlate highly with the class output. These neurons help in identifying the important features which decide the output class. We visualize these neurons output by producing a heatmap.

Jupyter Notebook

DE-unstructured-stream-processing

Handling Unstructured data in realtime

Python

DE-structured-stream-processing

Project to learn/showcase how to process real-time data

Python

Visualising-PISA-reading-performance-published-by-OECD

rahulkumar-datascientist/Detecting-Silent-Cardiac-Atrial-fibrillation-from-PPG-and-single-lead-ECG-Data-using-CNN-LSTM

rahulkumar-datascientist

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