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Create a gesture-controlled interface using Mediapipe and Python. Detect hand gestures for controlling media, automation, or games in real-time.
Beginner-friendly. Certificate included.
Startups
Microsoft
NVIDIA
By the end of this course, you'll have the skills to land your first computer vision job or freelance clients.
Understand how AI interprets hand movements for gesture-based control systems.
Use Python with OpenCV and MediaPipe to detect and track hand gestures accurately.
Build a real-time system to recognize hand gestures from a live webcam feed.
Save recognized gestures and timestamps into a database for tracking or analysis.
Design an interactive GUI to display gesture detection results in real time.
Finish the course and receive a verified certificate of success.
Muhammad Yaqoob is the founder of Tentosoft Pvt Ltd and a seasoned Computer Vision expert. With 10+ years of experience and over 5,000+ students taught globally, he brings deep industry knowledge and a passion for practical, hands-on learning.
8 weeks of comprehensive training with 50+ lessons and 10+ hours of content
This section introduces the concept of recognizing hand gestures using computer vision and deep learning. It explains how hand gestures can be detected and classified in real-time, enabling touch-free interaction for applications like virtual controls, sign language translation, and smart automation systems.
Course Introduction and Features
Core Technologies Involved
Learning Outcomes
Master the fundamentals of color theory and typography to create visually appealing and accessible designs. Learn how colors affect user emotions and behavior.
Installing Python
VS Code Setup for Python Development
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Hand Gesture Detection and Recognition Project Overview
Architecture Highlights
Real-World Use Case
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Explanation of Required Packages for Hand Gesture Recognition
Installation Instructions
Exploration and Testing
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Understanding and Customizing Key Variables in Hand Gesture Recognition
Real-Time Behavior Tuning
Error Reduction and Debugging
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Annotating Frames with Gesture and Hand Landmarks
Gesture Label Overlay
Professional Touch for Demos & Portfolios
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Real-Time Gesture Recognition and Frame Annotation
Live Webcam Feed Integration
Portfolio-Ready Output
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Capturing Frames and Updating Tkinter Window in Real-Time
Live Frame Display in GUI
Professional UI + AI Integration
Is This Course Right for You?
Kickstart your AI journey with structured, hands-on learning.
Build a portfolio that recuriters can't ignore.
Add powerful AI/CV features to your apps and software.
Upskill for higher-paying, future-ready tech roles.
Build Smarter, more intelligent applications.
Transition into AI even with zero background.
One-time payment for lifetime access to all course materials and updates
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Highly recommended for small teams who seek to upgrade their time & perform.
₹ 6720 inclusive of GST ₹ 13999
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This certificate is given to Jacqueline Thompson for her achievement in the field of education and proves that she is competent in her field.
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