Pinned Repositories
3-in-1-Robot
This robot with different mode is able to function as an All-terrain robot controlled via bluetooth , avoid obstacles thanks to the ultrasonic sensor (u can add more ) , and with a line following mode where u can switch between modes using bluetooth.
AI-Scans
These bunch of scan where applied on my prototype realised of an Autonomous Mobile Robot :
Autonomous-Car-Simulation
Autonomous Car Simulation Using neat library and Pygame
Color-Detection
Fundamentals-of-Accelerated-Data-Science-with-RAPIDS
Fundamentals_of_Deep_Learning
NVIDIA Deep Learning Institute– Fundamentals of Deep Learning
Hungry-Robot
As its name says our teeny tiny robot eats everything on its path using very simple components and mechanisms .
Lane-Finding-project-for-autonomous-vehicules
Lane Fuinding project for autonomous vehicules using realtime computer Vision ,
Pose-Estimation
Pose Estimation module using Mediapipe library
Reactjs-Qr-Scan---Generation
taiebzbaiba's Repositories
taiebzbaiba/Reactjs-Qr-Scan---Generation
taiebzbaiba/Color-Detection
taiebzbaiba/Hungry-Robot
As its name says our teeny tiny robot eats everything on its path using very simple components and mechanisms .
taiebzbaiba/Lane-Finding-project-for-autonomous-vehicules
Lane Fuinding project for autonomous vehicules using realtime computer Vision ,
taiebzbaiba/Pose-Estimation
Pose Estimation module using Mediapipe library
taiebzbaiba/Autonomous-Car-Simulation
Autonomous Car Simulation Using neat library and Pygame
taiebzbaiba/AI-Scans
These bunch of scan where applied on my prototype realised of an Autonomous Mobile Robot :
taiebzbaiba/3-in-1-Robot
This robot with different mode is able to function as an All-terrain robot controlled via bluetooth , avoid obstacles thanks to the ultrasonic sensor (u can add more ) , and with a line following mode where u can switch between modes using bluetooth.
taiebzbaiba/tensorflow-2-public
taiebzbaiba/Fundamentals_of_Deep_Learning
NVIDIA Deep Learning Institute– Fundamentals of Deep Learning
taiebzbaiba/Fundamentals-of-Accelerated-Data-Science-with-RAPIDS