Total Students
0
Present
0
Late
0
Absent
0
Attendance Trend
Departments
Today's Schedule
—Loading schedule...
Live Scan Feed
LIVEAwaiting scans...
Loading students...
| # | Time | UID | Student | Subject | Status | Marking |
|---|
Loading logs...
RFID Scan Simulator
Simulate an RFID scan. The system auto-resolves the current class from the timetable.
Register Student
Student Enrollment
Enter a UID above to view enrolled subjects.
0
Total Records
0
Students Analysed
—
Attendance Rate
0
At-Risk (<75%)
Subject-wise Attendance
Today's Breakdown
At-Risk Students (Below 75%)
| UID | Name | Department | Attendance % | Status |
|---|
No at-risk students
ML Dropout Risk Prediction
FEATURE-WEIGHTED MODELPredicts students likely to drop below 75% based on attendance trend, absence streaks, and late ratio analysis.
| Student | Attendance | Trend | Risk Score | Label | Key Factors |
|---|
Running prediction model...
API Configuration
System Architecture
ESP32 / Wokwi
→
FastAPI + Uvicorn
→
PostgreSQL 16
PostgreSQL
→
Dashboard
→
ML Module
About
IoT Attendance System v2.0
A schedule-aware, constraint-driven IoT attendance system with real-time monitoring, subject-wise tracking, and ML-powered analytics.