ahk_automation

animal_intrusion_detection

Animal Detection using YOLOv5

autoauto_car

clone

computer_vision

embedded_systems

This contain codes for the systems having a fixed functionality that i have built

micro_mouse

neuro_genetic_disorder_prediction

Using ANN for prediction of neuro genetic disorder

niryo_ned

object_dectection_using_yolo

YOLO is an acronym that stands for You Only Look Once. We are employing Version 5, which was launched by Ultralytics in June 2020 and is now the most advanced object identification algorithm available. It is a novel convolutional neural network (CNN) that detects objects in real-time with great accuracy. This approach uses a single neural network to process the entire picture, then separates it into parts and predicts bounding boxes and probabilities for each component. These bounding boxes are weighted by the expected probability. The method “just looks once” at the image in the sense that it makes predictions after only one forward propagation run through the neural network. It then delivers detected items after non-max suppression (which ensures that the object detection algorithm only identifies each object once)

object_follower_cam

project_eva

reinforcement_learning

robotic_arm

rog_ros_bot

solidworks

starting_with_nlp

tetrix_prizm_controller

the-kriz

Config files for my GitHub profile.

traffic_sign_recognition_system

web_dev

Created with CodeSandbox

wheel_combinations