Posturize
Perfect Your Form, Elevate Your Fitness!
Created on 23rd February 2025
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Posturize
Perfect Your Form, Elevate Your Fitness!
The problem Posturize solves
Many people perform exercises with incorrect posture, leading to ineffective workouts, increased injury risks, and long-term health issues. Traditional fitness apps focus on counting reps but lack real-time feedback on form and movement accuracy. Personal trainers can be expensive and inaccessible to many.
How Posturize Helps
AI-Powered Posture Analysis – Uses computer vision to detect key body points, calculate joint angles, and identify posture errors.
Real-Time Feedback – Provides instant guidance to correct form, ensuring safe and effective workouts.
Automated Rep Counting – No need to manually track repetitions—Posturize does it for you.
Personalized AI – Ask Questions and Suggests personalized exercises based on your movement patterns.
Injury Prevention – Reduces the risk of injuries caused by improper form.
Who Can Use It?
Fitness Enthusiasts – Improve form without needing a personal trainer.
Beginners – Learn exercises with proper technique from day one.
Rehabilitation Patients – Ensure safe movements while recovering from injuries.
Trainers & Coaches – Monitor clients’ posture remotely with AI-powered insights.
Challenges I ran into
Real-Time Pose Detection & Accuracy
One of the biggest challenges was ensuring accurate pose detection in real time. Mediapipe’s pose estimation sometimes failed in low-light conditions or when users were partially out of frame.
Solution: Adjusted detection thresholds, added error handling, and implemented preprocessing techniques (brightness correction, noise reduction) to improve consistency.
Handling Multiple Exercises with Varying Angles
Different exercises (e.g., squats vs. push-ups) require tracking different keypoints and angle calculations. This made it challenging to create a one-size-fits-all model.
Solution: Created customized logic for each exercise and optimized feedback using adaptive thresholds for different body movements.
Webcam Access & Browser Compatibility Issues
Some browsers blocked webcam access due to security policies, and different devices had varying frame rates, affecting real-time processing.
Solution: Used proper permissions handling, tested across multiple browsers, and optimized OpenCV’s processing pipeline to handle different frame rates dynamically.
Deploying Backend on Vercel
Since Vercel is optimized for serverless functions, running a FastAPI backend with OpenCV and Mediapipe was tricky due to execution time limits and package dependencies.
Solution: Optimized API responses, and considered long-running processes.
Synchronizing Frontend & Backend
Ensuring smooth communication between the React (Vite) frontend and FastAPI backend required handling CORS issues and optimizing API response times for real-time feedback.
Solution: Configured CORS middleware properly, optimized video streaming API