Harsh Agarwal's repositories
kuberay
A toolkit to run Ray applications on Kubernetes
hactoberfest2022
Hacktoberfest Unique Codes
JabTV-Landing-Page
A Landing page tutorial for freecodecamp publication readers
ANFIS-Diabetes-Predictor
ANFIS(Adaptive Network-based Fuzzy Inference System) Model for predicting Diabetes
Autonomous-Path-Mapping-Robot
Made a robot to solve the problem statement of Pixelate 20', Technex, Technical Fest of IIT (BHU) Varansi.
code-cpp
hacktoberfest
Competitive-Programming
Here are certain problems related to Data Structure and Algorithm and most optimum solution from LeetCode.
learnopencv
Learn OpenCV : C++ and Python Examples
avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
Tic-Tac-Toe
Two Players Tic Tac Toe Game.
anuvaad
Anuvaad - Translation for Indian Languages
machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
movement-tracking
UP - DOWN - LEFT - RIGHT movement tracking.
Fault-Detection-in-Power-Microgrid
This project presents the concept of fault detection and location in a Power Microgrid making use of the machine learning concepts like Artificial Neural Network. The electronic equipment used in microgrids is in essential need of more secure protection against short circuit faults. Due to the high current at the time of fault occurrence, the whole system might be de-energized which would have a severely negative impact on the entire system. A fault occurs when two or more conductors come in contact with each other or ground. Ground faults are considered as one of the main problems in power systems and account for more than 80% of all faults. An effective method to detect, isolate, and protect the power microgrid system against the effects of short circuit faults is extremely important. In this project we worked on a highly effective new method to protect the microgrid system using an Artificial Neural Network (ANN) that will detect and find the location of the fault before it affects other parts of the system. It would, therefore, be more dependable for microgrid protection. This protection network is distributed all along the power microgrid system protecting the entire microgrid network and is connected to the other protective devices in the system. This project focuses on detecting faults and identifying the location of the faults on electric power transmission lines in the power microgrid network.
Intro-to-ML-by-Andrew-Ng-in-Coursera
This is what I learned in this first ML Course I did in the coursera. It is one of the best course for beginners. There were many assignments which helped in grasping the theory.
cnn-hand-gesture-interface
Hand gesture interface for Desktop PC and Raspberry Pi.