Building EmotiNg

Overview

Learn to create an emotion-detecting Angular app using machine learning and facial recognition, enhancing user interaction and engagement in web applications.

Syllabus

• Introduction to Emotion Detection
Overview of Emotion Detection Technologies
Applications in Web Development
• Angular Basics
Setting Up an Angular Development Environment
Angular Components, Modules, and Services
• Understanding Facial Recognition
Basics of Computer Vision and Facial Recognition
Tools and APIs for Facial Recognition
• Introduction to Machine Learning
Basics of Machine Learning Models
Training Models for Emotion Detection
• Building the Angular App Structure
Creating Project Architecture
Integrating Angular with Backend Services
• Integrating Facial Recognition in Angular
Setting Up Facial Recognition API
Capturing and Analyzing User Data
• Implementing Emotion Detection
Training and Utilizing Emotion Detection Models
Real-time Emotion Analysis and Updates
• Enhancing User Interaction
Incorporating Emotion Feedback in UI
Strategies for Improved User Engagement
• Testing and Debugging
Testing the Angular App
Debugging Machine Learning Models and Facial Recognition
• Deployment and Optimization
Deploying the App to the Web
Optimizing for Performance and Scalability
• Ethical Considerations and Best Practices
Privacy and Ethical Concerns in Emotion Detection
Ensuring Responsible Use of Technology
• Final Project
Building and Presenting a Complete Emotion-Detecting Angular Application

Subjects

Conference Talks