Haseeb Ahmed Khan's repositories
Covid19-Tracker-App
It's a very simple COVID-19 Tracker app.
Flutter-Roadmap-and-Resources-Guide
A roadmap from a beginner's point of view. Which can help you in becoming a full fledge flutter developer.
Free-Artificial-Intelligence-Resources
Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.
Hacktoberfest-Flutter
For all the Flutter developers out there make your first Pull Request and earn a free Tee from GitHub!
MedKit-Pharmacy-App-Using-Flutter
To cure symptoms of various disease using medicines at home this app will act as guideline. Few animations are used and Firebase is used as database.
applied-ml
š Papers by organizations sharing their work on applied data science & machine learning.
artificial-intelligence-for-iot-developers
To design, test, and deploy an edge AI application in any number of settings for a broad of array of different companies, industries, and devices.
Computer-Pointer-Control
IntelĀ® Edge AI for IoT Developers Nanodegree Program's Final Project
Computer-Pointer-Controller
Udacity Intel Edge AI Nanodegree Project 2: Compute Pointer Controller
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deploy-a-People-Counter-App-at-the-Edge
Udacity Intel Edge AI Nanodegree Project 1: Deploy a People Counter App at the Edge
dev
TEXPO
github-slideshow
A robot powered training repository :robot:
Intel-Edge-AI-for-IoT-Developers
The projects under the Nanodegree IntelĀ® Edge AI for IoT Developers from Udacity
Intel-Edge-AI-for-IoT-Developers-Nanodegree-program
Leverage the IntelĀ® Distribution of OpenVINOā¢ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU), and utilize the IntelĀ® DevCloud for the Edge to test model performance on the various hardware types. Finally, you will use software tools to optimize deep learning models to improve performance of Edge AI systems. - Source
jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
Payroll_Management_System
Payroll Practice
Projects-Intel-OpenVino
Projects done using Intel OpenVino Toolkit
Smart-Queuing-System
Udacity Intel Edge AI Nanodegree Project 2: Smart Queuing System
Tourism_App_UI_In_Flutter
Tour guide App UI in Flutter Consist of Three Pages. First Screen is Splash Screen , Second is welcome screen routing to third Screen and Third screen consist of details , navigation, places, and responsive UI.