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I will develop ai fitness tracker push up counter
Faisalkhan
About this gig
I will develop an AI-powered Push-Up Counter using YOLOv11 Pose Detection to accurately count push-ups, track form, and provide live feedback in real time.
What this system offers:
- Real-time push-up detection and counting
- Pose estimation with skeleton overlay for form tracking
- Smart angle calculation for accurate rep detection
- Effort monitoring with dynamic bars
- Professional UI with live controls (pause, step-through, screenshot)
- Video export with overlays for later review
Perfect for fitness apps, gym trainers, kids exercise apps, or personal workout trackers this solution is fast, accurate, and completely customizable.
Get to know Faisalkhan
Faisalkhan
Computer Vision AI Expert
- FromPakistan
- Member sinceJul 2025
- Avg. response time1 hour
- Last delivery9 months
Languages
English, Urdu, Arabic
Experienced Computer Vision Engineer and Deep Learning Expert with strong skills in Python, TensorFlow, PyTorch, and OpenCV. Specialized in object detection, pose estimation, generative AI, and predictive analytics. Proficient in Power BI, Tableau, and deploying AI at scale using Databricks, SQL, and cloud platforms. Delivered solutions for medical imaging, smart cities, and R&D with advanced models like YOLO, ViT, GANs, and DeepSORT
My Portfolio
FAQ
Q1: Will this work with any camera?
Yes. Works with webcams, laptop cameras, or connected external cameras
Q2: Can it process recorded videos?
Yes. You can use both real-time camera feeds and recorded videos.
Q3: Will it count other exercises too?
By default, it’s tuned for push-ups, but it can be adapted for other exercises
Q4: Does it need GPU for real-time performance?
A GPU is recommended for maximum FPS, but it can run on CPU at slightly reduced speed.
Q5: Is it suitable for mobile apps?
Yes, the system can be adapted for mobile or embedded devices upon request.
