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AI-Powered Attendance Tracker is a web application that automatically marks student attendance using YOLOv8 face detection and activity analysis. The system analyzes classroom videos to detect student focus, activity level, and engagement.
Students are marked:
✅ Present → If confidence score ≥ 0.5 ❌ Absent → If confidence score < 0.5
Video Upload via Admin Dashboard YOLOv8 Face Detection Activity & Attention Detection Confidence Score Based Attendance Student Active / Inactive Detection Weekly Attendance Reports MongoDB Data Storage Student & Admin Dashboard
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Users can trace where number comes from – across sources, PDFs, without leaving the interface.
Built this last year – but just spent half a day turning it into this 8-sec demo for portfolio!
Nice way to naturally bake trust into the frontend. Simple presentations of audit trails like this can remove so much user friction.
Excited to share that we’ve recently completed the development of a modern fitness website designed for gyms, personal trainers, and fitness brands looking to build a strong online presence.
💪 Project Highlights:
• Clean and modern UI/UX design
• Fully responsive across all devices
• Trainer profiles and fitness program sections
• Membership and contact features
• Optimized for speed and performance
The goal was to create a website that not only looks great but also helps fitness businesses engage members, showcase services, and grow their brand online.
If you’re looking to build a fitness, gym, or wellness website - sass, feel free to reach out. I'd be happy to help bring your idea to life.
fitnessfitnesswebsitefitnessappWeb DesignBusiness StrategyAI Application DevelopmentFramerKajabiRive
This is amazing!
The layout is just perfect
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