Our Instructors Collaborate With Top Tech Leaders
Startups
Microsoft
NVIDIA
Build an AI-based fitness assistant that counts push-ups,
squats, and other exercises using pose detection with OpenCV and
Mediapipe. Get real-time feedback.
Beginner to Intermediate. 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.
Learn how AI tracks human body movements to monitor fitness activities and exercise form.
Use Python with OpenCV and pose estimation tools like MediaPipe or OpenPose for accurate body tracking.
Build a real-time system that detects workout types, counts reps, and checks posture during exercises.
Store exercise data such as reps, sets, and timestamps into a database for fitness tracking.
Create an interactive interface to show live video, posture feedback, and rep counts.
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
Blockchain is a shared immutable ledger that facilitates the process of recording transactions and tracking assets across a business network. A Blockchain is a distributed database, which is shared over a computer network.
Course Introduction and Features
Uses sensors or video to track movements like exercise or posture
Employs AI models to analyze body pose and motion in real-time
Supports personalized fitness goals and real-time corrections
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
Install Python from the official Python.org website
Optionally install Docker for containerized development
Learn essential user research techniques and wireframing methods to create user-centered designs. Master the art of understanding user needs and translating them into effective wireframes.
Human Fitness Tracking System Project Overview
Defines the core goals and functionality of the project
IProvides context for documentation and future scalability
Master Figma from basics to advanced features. Learn to create professional designs, prototypes, and collaborate effectively with your team using industry-standard tools.
Packages Overview & Mediapipe Initialization
Lists essential Python packages like OpenCV, NumPy, and Mediapipe
Enables real-time video frame processing for fitness tracking
Prepares the system for accurate and responsive detection
Explore common UI design patterns and learn when and how to apply them effectively. Understand the principles behind successful interface designs.
Calculating Angles in Pose Estimation
Uses landmarks from Mediapipe to track body joints
Visualizes angle values over video frames for feedback
Forms the core logic of motion-based activity recognition systems
Learn to create interactive prototypes and meaningful animations that enhance user experience. Master the art of bringing your designs to life.
Logic Behind Repetition Counting
Uses joint angle thresholds to detect movement phases
Useful in fitness apps for accurate exercise tracking.
Learn how to conduct effective user testing sessions and iterate on your designs based on real user feedback. Master the continuous improvement process.
Tkinter Log Window & Variable Initialization
Initializes GUI variables to track exercise state and counts
Iterating designs based on user insights
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Model Inference and Code Explanation
Loads the trained model to make real-time predictions
Demonstrates practical usage of AI models in fitness applications
Critical for understanding how the system operates during live use
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Tkinter Implementation for Ui
Creates a user-friendly interface using the Tkinter library
Integrates the detection model output into the GUI window
Facilitates end-to-end usability for the fitness tracking system
Build a stunning portfolio that showcases your skills and learn how to present your work effectively to land your dream design job.
Package Installation Guide
Installs essential libraries like OpenCV, NumPy, and Mediapipe
Acts as the foundational step before coding or testing begins
Is This Course Right for You?
Kickstart your AI journey with structured, hands-on learning.
Build a portfolio that recruiters 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
Get hands-on experience with real-world projects designed to sharpen your technical skills and build your confidence. Each project is crafted to help you apply concepts practically, write cleaner code, and prepare for real developer challenges.
Highly recommended for small teams who seek to upgrade their time & perform.
₹ 6720 inclusive of GST ₹ 13999
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Get full project code for 20+ real-world applications – build, customize, and learn hands-on with working solutions.
Join weekly live Q&As to resolve queries and deepen your understanding with real-time support
Enhance your confidence with communication tips, resume builder templates, and personal branding guides tailored for tech careers.
Get feedback, share wins, and grow with other learners in a safe and supportive environment.
Enroll today to claim all bonuses before the offer expires!
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