Kartik Nighania (@kartik-nighania)
  • Stars
    star
    115
  • Global Rank 187,171 (Top 7 %)
  • Followers 61
  • Following 23
  • Registered over 9 years ago
  • Most used languages
    C++
    30.8 %
    JavaScript
    15.4 %
    Python
    15.4 %
    C
    7.7 %
    HTML
    7.7 %
    Makefile
    7.7 %
    Arduino
    7.7 %
  • Location ๐Ÿ‡ฎ๐Ÿ‡ณ India
  • Country Total Rank 5,377
  • Country Ranking
    Arduino
    46
    Makefile
    805
    Python
    1,770
    C++
    2,276
    HTML
    2,856
    C
    3,116
    JavaScript
    4,176

Top repositories

1

whatsapp_with_aws_lambda

code for my blog post on whatsapp messaging using AWS lambda
Python
53
star
2

Real-Time-Human-Pose-detection-in-browser

code for my BlogPost. Uses ML5.js and P5.js to run poseNet in browser with webcam
JavaScript
21
star
3

ROS_Based_Farm_Robot

Final year project to create a robot for agriculture using ROS support
HTML
10
star
4

LightningBolt---PID-enabled-fast-line-follower

Speed upto 2 m/sec !! achieved by PID loop correction and 1000 analog inputs per second by InfraRed Sensors
Arduino
5
star
5

LED-Cube-8x8x8-Persistance-of-Vision

cube of 512 LEDS that can show amazing animations using atmega 32 MCU at a frame rate of 1300/s
C
3
star
6

WEBCAM-multiple-Object-Tracking-and-Shape-Detection

using OpenCV to track multiple objects and determine their shape and finally use a* algorithm for path detection.
C++
3
star
7

CMA-ES_SuperMario

covariance matrix adaptation evolution strategy for mlpack
C++
2
star
8

neuralEvolutionLearning

C++
1
star
9

Object_Detection_using_CNN-TensorFlow

Jupyter Notebook
1
star
10

PreziBee

a miniature wearable device that can track hand gestures in 3D and works as an input device to PC
Makefile
1
star
11

Google_Summer_of_Code_2017

Summary of my work done in GSoC with MLPack
C++
1
star
12

deep_learning_face_detection_and_recognition

repository to do facenet detection and recognition with very high accuracy
Python
1
star
13

BeagleBone_remote_seismometer_node

make seismometer node that sends data to the servers of The Quake Catcher Network that collects real time data of Earthquakes and its aftershocks worldwide
JavaScript
1
star