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I will develop real time ai based hand and face gesture recognition system
Fahad Ramay
About this gig
Looking for a reliable, real-time AI solution that can accurately recognize hand gestures and facial expressions? I will develop a professional AI-powered Hand & Face Gesture Recognition System tailored to your specific requirements.
Using Python, OpenCV, MediaPipe, TensorFlow, and PyTorch, I will build an optimized computer vision solution capable of detecting and interpreting gestures from webcams, videos, or live camera streams.
What I can provide:
Real-time hand gesture recognition
Face gesture & expression detection
Thumbs up, fist, peace sign, open palm & pointing
Smile, wink, neutral, frown & mouth-open detection
Custom gesture recognition based on your requirements
Hand landmark & face landmark tracking
Confidence-based detection results
Multiple gesture classification
Clean, optimized & maintainable Python code
Custom AI/ML model integration
Webcam, video & live-stream support
API or application integration
Testing, documentation & setup guidance
Ideal for touchless interfaces, automation, accessibility, HCI, smart applications, research, gaming, and interactive AI systems.
Every solution is customized according to your project requirements.
Get to know Fahad Ramay
Fahad Ramay
Full Stack Developer and AI ML Engineer
- FromPakistan
- Member sinceSep 2026
Languages
English, Urdu
I am a Full Stack Developer and AI ML Engineer with 5+ years of experience building scalable web applications and intelligent AI solutions. I specialize in MERN Stack, React, Node.js, Django, Flask, Laravel, Machine Learning, Generative AI, LLMs, AI Agents, RAG, NLP, Computer Vision, and Deep Learning. I also develop AI chatbots, REST APIs, automation workflows, web scraping solutions, and database systems. I focus on clean code, scalable architecture, reliable performance, and delivering production-ready solutions tailored to your business needs.
My Portfolio
Other AI Development Services I Offer
FAQ
What types of hand and face gestures can the system recognize?
The system can recognize gestures such as thumbs up, open palm, fist, peace sign, and pointing, along with facial expressions such as smile, wink, neutral, frown, and mouth open. Custom gestures can also be developed based on your requirements.
Can you develop custom gestures for my specific project?
Yes. I can customize the recognition system to detect specific hand gestures, facial expressions, or gesture combinations according to your project requirements and use case.
Which technologies will you use for the project?
I primarily use Python, OpenCV, MediaPipe, TensorFlow, and PyTorch. The final technology stack will be selected according to the required accuracy, performance, platform, and complexity of your project.
Does the system work in real time with a webcam or camera?
Yes. The system can process live input from webcams and supported camera streams for real-time gesture detection. It can also be configured to process prerecorded images or video files.
Can you integrate the gesture recognition system into my existing application?
Yes. I can integrate the recognition system with compatible desktop, web, AI, automation, or other applications through APIs or custom integration, depending on your existing technology stack.
Will I receive the source code and documentation?
Yes. Depending on the selected package, I can provide clean and organized source code along with setup instructions, dependency requirements, and documentation to help you run and maintain the system.
What information do you need before starting the project?
Please provide the gestures or expressions you want to recognize, target platform, camera/input source, expected functionality, integration requirements, and any sample data or reference material available. For custom projects, please contact me before placing an order.
