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I will develop ai based hand and face gesture recognition systems
Fahad Ramay
About this gig
I will develop a professional Python-based AI application that detects hand gestures and facial expressions using modern computer vision and machine learning technologies such as OpenCV, MediaPipe, and TensorFlow. The system runs in real time and provides accurate recognition with smooth performance.
What you will get:
Real-time hand gesture recognition (thumbs up, peace sign, fist, pointing, open palm)
Facial expression detection (smile, neutral, frown, wink, mouth open)
Combined gesture interpretation for interactive systems
Desktop application with live visualization
FPS counter, confidence score, and detection display
Clean, well-structured Python source code
Why choose me:
Experienced AI & computer vision developer
Clean and documented code
Cross-platform support (Windows, Linux, macOS)
Fast delivery and reliable communication
Applications:
Healthcare assistive tools, education systems, gaming/VR controls, and smart AI interfaces.
Please message me before placing an order to discuss your project requirements.
Get to know Fahad Ramay
Fahad Ramay
AI Engineer Full Stack Dev Web and Mobile Apps
- FromPakistan
- Member sinceOct 2025
- Avg. response time1 hour
Languages
Urdu, English
I’m a Web Developer and AI Engineer helping businesses and individuals build scalable, data-driven systems. I specialize in Web Development, Machine Learning, Computer Vision, and Neural Networks, offering complete solutions from concept to deployment. I create responsive, SEO-optimized web apps and integrate AI models to automate complex processes using modern front-end and back-end technologies.
My Portfolio
FAQ
What do I need to provide before you start the project?
You just need to share your project requirements, preferred gestures or expressions, and any specific use case (like gaming, healthcare, or robotics). I’ll handle everything from model setup to implementation.
Will I get the complete source code and documentation?
Yes! Every package includes well-commented Python source code and setup documentation so you can easily modify, run, or extend the system.
Can you integrate the gesture recognition system into my existing app or device?
Absolutely. I can integrate the AI model into your current Python or OpenCV-based project, or even link it with IoT or robotic applications (available in Standard and Premium packages).
Which technologies do you use to build the gesture recognition system?
I primarily use Python with TensorFlow, OpenCV, and MediaPipe for real-time gesture tracking and recognition. These frameworks ensure both accuracy and performance across multiple platforms.
Can you make this system work on mobile devices?
Currently, the system is designed for desktop use, but I can optimize or convert it for Android using frameworks like TensorFlow Lite upon request (custom order required).
Can you help me deploy this as a web or cloud application?
Yes, I can adapt the AI model for cloud or web deployment using Flask or FastAPI, depending on your hosting setup. This service is available under custom or premium orders.
