ABHINAV PRAKASH's Projects
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
Heart diseases are the number one cause of deaths of people around the world. They refer to the disorders related to the heart and blood vessels. The health sector maintains an enormous quantity of patient-related information. This stored information may be helpful for future disease prediction. In this research paper, we attempt to concentrate on different algorithms for machine learning that effectively predict heart diseases.
Minor Project for 6th semester.
FOSSASIA Labyrinth
This is a repository containing the list of company wise questions available on leetcode premium
Litmus helps Kubernetes SREs and developers practice chaos engineering in a Kubernetes native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Death age calculator model based on the number of cigarettes consumed in a day
A simple script that scrapes the Mitacs Globalink Webpage to extract a list of projects in a csv file.
NeuroLab Android https://github.com/fossasia/neurolab-android/raw/apk/neurolab-dev-debug.apk
Ninad Phalak's personal git repo
The frontend for the Open Event API Server https://open-event-frontend.now.sh
The Open Event Organizer Server to Manage Events https://api.eventyay.com | http://open-event-api.herokuapp.com
A color management framework for visual effects and animation.
Leading Open Source Container Attached Storage, built using Cloud Native Architecture, simplifies running Stateful Applications on Kubernetes.
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
A basic Ping pong game developed with python, it also has a live scoreboard
PSLab Android App https://play.google.com/store/apps/details?id=io.pslab
PSLab Desktop Application https://pslab.io
PSLab Hardware Design and Schematics https://pslab.io
Python Library for PSLab Desktop: https://pslab.io