Facial Emotion and Landmark Detection

What You’ll Learn

• Emotion Detection: Use AI to classify emotions like happiness, anger or neutrality.
• Landmark Detection: Map key facial points like eyes, nose, and mouth with precision.
• Hands-on Skills: Build CNN and ResNet models for real-world applications.
• Image Processing: Apply advanced tools like MediaPipe, FER, and Dlib to analyze facial data.
• Data Visualization: Visualize facial landmarks and emotional insights for powerful analy

Requirements

• A basic understanding of Python programming.

• A computer with internet access to install and run Python-based tools.sis.

• No prior knowledge of AI or computer vision is needed — we’ll guide you from scratch!

• Familiarity with libraries like NumPy and Pandas is helpful but not required.

Description

Unlock the power of AI with this practical course on Facial Emotion and Landmark Detection. Whether you’re a curious beginner or an aspiring AI specialist, this course equips you with the knowledge to:

• Train models for detecting human emotions in real-time

• Understand industry use cases and deploy AI solutions effectively

• Map facial features for applications like animation, security, and healthcare

With hands-on exercises, code walkthroughs, and project-based learning, you’ll be ready to create AI systems that make an impact!

Who This Course is For

• AI Enthusiasts: Looking to specialize in facial analysis or emotion AI.

• Beginners: Curious about starting their AI journey with practical applications.

• Creators & Developers: Building interactive media or applications powered by facial recognition.

• Business Professionals: Exploring AI for customer insights and decision-making.

• Data Scientists: Interested in combining computer vision with human behavior analysis.