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I will build a custom ai based attendance using face recognition


Ravi Pathak
About this gig
I will develop and integrate an advanced AI-powered face recognition system using a hybrid DeepFace + LBPH model for high accuracy and real-time performance.
This system is designed specifically for automated student attendance and can be seamlessly integrated into your existing app, website, or database. Whether you're running a school, university, or enterprise, I offer customisable solutions tailored to your needs.
Key Features:
- Hybrid model: DeepFace + LBPH for optimal speed and precision
- Real-time face detection and tracking
- Attendance logging with timestamps
- Integration with local or cloud databases
- Clean, well-commented source code included
- Optional deployment and support
Ideal For:
- Schools and universities
- Offices and organisations
- Admin dashboards and internal apps
️ System Requirements:
- Laptop/Desktop with 8GB RAM or higher
- Intel i5 processor or better
- GPU (Intel Iris or dedicated, optional for speed)
- 50GB free storage
- OS: Windows, Linux, or macOS
- Python 3.x environment with TensorFlow, OpenCV, DeepFace
Lets build a smart attendance system that saves time and boosts efficiency.
Need something custom? Feel free to message me before placing an order!
Get to know Ravi Pathak
Ravi Pathak
From Vision to Execution AI, Web, and Mobile Development Done Right
- FromIndia
- Member sinceJul 2025
- Avg. response time1 hour
Languages
English, Hindi
I’m a Full-Stack Developer and AI Products Specialist with 5+ years of experience building web, mobile, and AI-powered applications.
I’ve developed solutions across diverse industries—including healthcare, tourism, yoga, and finance—transforming ideas into scalable digital products that drive real impact. My expertise spans vision-based applications, AI-powered systems, and full-stack development for both web and mobile platforms.
I work with modern technologies to deliver clean, reliable, and efficient solutions tailored to your needs.

