Next Generation Kindergarten Management
Real-time attendance monitoring system for complete peace of mind
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Smart Recognition
AI-powered facial recognition for instant check-in
Real-time Updates
Stay informed with instant notifications
Advanced Security
Enterprise-grade security for your peace of mind
Features You'll Love
Designed with parents and kindergartens in mind

Real-time Updates
Instant notifications when your child arrives and leaves kindergarten

Empower Teachers
Less administrative burden for teachers, allowing them to focus on teaching

Parent-Teacher Connection
Stay connected with teachers and track your child's daily activities

24/7 Monitoring
Round-the-clock monitoring with instant alerts for any unusual activity
Powered by Advanced AI
Our technology ensures reliable and secure monitoring
// Real-time attendance tracking
const student = await monitor.scan({
id: "STD123",
time: new Date(),
location: "Main Entrance"
});
// Send instant notification
await notify.send({
type: "ENTRY",
to: student.parents,
message: "Amy has arrived safely!"
});
API First
Microservice Architecture
REST API
Secure endpoints for seamless integration
Webhooks
Real-time event notifications through email
Fully Cloud
Data are securedly stored in AWS Cloud Storage
Face Recognition Flow
Notification System

Monitor your children with our AI-powered portal
Experience peace of mind with real-time monitoring, instant notifications, and advanced facial recognition technology. Our secure platform helps you stay connected with your child's daily activities while ensuring their safety at every moment. Join hundreds of satisfied parents and schools who trust us with their most precious ones.
Technical Implementation
Computer Vision & Deep Learning Pipeline
Custom-trained Siamese Neural Network for facial recognition, comparing uploaded student photos from S3 storage with real-time camera feeds. Achieved reliable student attendance verification through dual-input architecture and contrastive loss optimization.
Scalable Data Architecture
Designed a robust data pipeline using AWS S3 for raw image storage, RDS for metadata management, and Snowflake for analytics. Implemented data versioning and automated ETL processes.
System Performance
Optimized inference time to <100ms using model quantization and ONNX runtime. Implemented load balancing and caching strategies for handling concurrent user requests.
Technical Implementation
Built with Next.js 14, TypeScript, and TailwindCSS for the frontend. Leveraged AWS Lambda for serverless compute, implemented CI/CD with GitHub Actions, and maintained 90%+ test coverage.
Future Partnerships & Collaboration







Frequently Asked Questions
Everything you need to know about our attendance monitoring system. Can't find what you're looking for? Contact us