Hands on Machine Learning Project – Covid Mask Detector

Categories IT & Software

Hands on Machine Learning Project – Covid Mask Detector

Welcome to the “Hands-on Machine Learning Project – Covid Mask Detector” course! In this immersive program, participants will delve into the fascinating realm of computer vision and machine learning by focusing on the development of a real-world application: a Covid mask detector. With the ongoing global pandemic, the ability to automatically detect mask-wearing behavior in public spaces has become increasingly important for ensuring safety and compliance with health guidelines. Through this course, participants will learn how to leverage cutting-edge machine learning techniques to create a robust and accurate mask detection system. Throughout the course, participants will gain practical experience in building and training deep learning models using popular frameworks such as TensorFlow and PyTorch. They will explore fundamental concepts in image classification, object detection, and neural network architectures, with a specific focus on designing and implementing a Covid mask detection algorithm. Through hands-on coding exercises and projects, participants will develop the skills and expertise needed to tackle real-world challenges in computer vision and machine learning.

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Hands on Machine Learning Project – Covid Mask Detector

Categories IT & Software

Interactive video lectures by industry experts
Developed by qualified first aid professionals
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with audio voiceover
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases

Main Course Features:

Comprehensive tutorials and demonstrations on machine learning concepts, computer vision techniques, and deep learning frameworks
Practical coding exercises and projects to build a Covid mask detection system from scratch
Exploration of real-world datasets and challenges in mask detection for public safety applications
Guidance on model evaluation, optimization, and deployment strategies for effective mask detection solutions
Access to curated resources, research papers, and industry case studies for further learning and inspiration
Interactive discussions and Q&A sessions with industry experts and fellow participants
Regular feedback and support from instructors to facilitate learning and project development
Certificate of completion upon successful demonstration of project outcomes and skills mastery

Learning Outcomes

Develop a comprehensive understanding of machine learning and computer vision techniques for Covid mask detection
Gain proficiency in building and training deep learning models using TensorFlow and PyTorch
Acquire practical coding skills to implement a Covid mask detection algorithm from scratch
Explore real-world datasets and challenges in mask detection and develop strategies for model evaluation and optimization
Apply transfer learning and pre-trained models to accelerate model training and improve performance
Demonstrate the ability to design, train, and deploy effective mask detection solutions for public safety applications
Collaborate effectively with peers and industry experts to tackle complex challenges and exchange insights
Showcase a portfolio of machine learning projects and demonstrate proficiency in Covid mask detection techniques through a capstone project.

Who Should Take This Course

Data scientists, machine learning engineers, and computer vision enthusiasts seeking to apply their skills to real-world projects with societal impact
Software developers, engineers, and researchers interested in leveraging AI and computer vision for public health and safety applications
Public health officials, policymakers, and government agencies looking to deploy technology solutions for monitoring mask compliance and preventing the spread of infectious diseases
Students and educators interested in gaining practical experience in machine learning and computer vision through a hands-on project-based approach

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Course Curriculum

Section 01: Introduction

Introduction to Course 00:05:00

Section 02: Mastering OpenCV

Getting System Ready 00:10:00
Read and Write Images 00:06:00
Resize and Crop 00:07:00
Working with Shapes 00:11:00
Working with Text 00:03:00

Section 03: Pre-Requisite for Face Detection

Pre-Requisite for Face Detection 00:10:00
Detect the Face 00:06:00

Section 04: Deep Learning with Tensorflow

Introduction to Deep Learning with Tensorflow 00:10:00
Model Building 00:10:00
Training the Mask Detector 00:04:00
Saving the Best Model 00:01:00
Basic Front End Design of App 00:10:00
File Upload Interface for App 00:06:00
App Prep 00:09:00
App Build and Testing 00:07:00
AWS Deployment 00:09:00
AWS Deployment Continued 00:03:00