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I will build custom face recognition and computer vision projects
Huzaifa Dev
About this gig
Looking for a custom Face Recognition, Attendance System, or OpenCV Python solution?
You are in the right place!
What I Build:
- Face Recognition & Matching
- Biometric Attendance Systems
- Object Detection & Analytics
- GUI & Web Dashboards
️ Tech Stack: Python, C++, OpenCV, dlib, PyTorch, TensorFlow, YOLO, NumPy, Streamlit.
Why Choose Me?
- 100% Clean Code: Fully documented Python source code included.
- Fast Turnaround: Quick delivery with post-project support.
Get to know Huzaifa Dev
Huzaifa Dev
Flutter Mobile App Developer Building Smart AI Solutions
- FromPakistan
- Member sinceJun 2022
- Avg. response time1 hour
Languages
English, Urdu, French, German, Chinese
Hi, I’m Huzaifa an AI-Powered Mobile App Engineer specializing in Flutter, Machine Learning, Deep Learning, and NLP. I bridge the gap between smart AI models and cross-platform mobile development, building high-performance Android & iOS apps with seamless API integration. Whether you need a modern mobile app with intelligent AI features or a custom Flutter app to deploy your ML/NLP models, I deliver clean, scalable code. Let’s collaborate to transform your idea into a market-ready, intelligent product!
My Portfolio
FAQ
What do you need to start my Face Recognition project?
A clear description of your requirements, preferred UI (Tkinter/Streamlit), and sample face images or camera video feeds for testing.
Can you integrate the OpenCV face recognition pipeline with Excel?
Yes! I can build complete attendance logging pipelines that export names, timestamps, and confidence scores directly to CSV/Excel or SQL databases.
Will I get the full source code for the Python OpenCV application?
Absolutely! All packages include 100% clean, well-commented Python source code ready to run on Windows, Mac, or Linux.
Can you create a desktop GUI for my computer vision system?
Yes, I build user-friendly desktop interfaces using Tkinter/PyQt or modern web dashboards using Streamlit for easy camera management.
