Kelajuan 0.5ร โ Perlahan ยท Cepat โ
๐ฌ Tekan Play Demo untuk lihat bagaimana Attendance Monitoring Agent memantau kehadiran pelajar.
1. Command
2. Analyze
3. Script
4. Diagram
5. Schematic
6. Simulasi
7. Report
Demo Complete All Stages Generated
01 WhatsApp CommandNext โ
02 Requirement Analysisโ Prev Next โ
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03 Python Script Generationโ Prev Next โ
๐ Mod Ringkas ๐ง Mod Teknikal
1
๐ฅ
Ambil data kehadiran Fetch dari database student
2
๐งฎ
Kira kadar kehadiran Attendance rate per student
3
๐
Kenal pasti risiko Flag di bawah threshold
๐
Laporan & amaran Hantar notifikasi kepada akademik
import pandas as pd
from datetime import datetime
def load_attendance(csv_file):
df = pd.read_csv(csv_file)
return df.groupby('student').agg({'present': 'sum', 'total': 'sum'})
def calculate_rate(row):
return (row['present'] / row['total']) * 100
result = load_attendance('attendance.csv')
result['rate'] = result.apply(calculate_rate, axis=1)
at_risk = result[result['rate'] < 75]
print(json.dumps(at_risk.index.tolist()))
Download Script
04 Block Diagramโ Prev Next โ
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05 System Schematicโ Prev Next โ
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โ ๏ธ Student data must comply with PDPA and institutional privacy policies.
06 Simulasi Attendance Monitoringโ Prev Next โ
Mula Pemantauan
07 Attendance Reportโ Prev
Terminal Log [SISTEM] Attendance Monitoring Agent sedia
System Architecture ๐ค Agent Layer
Data fetcher
Rate calculator
Risk detector
LLM analyzer
๐ Education Layer
Student DB
Attendance records
Alert system
Reports
Safety Notes Follow institutional attendance policies before contacting parents. Configure role-based access for student records. Data retention must comply with PDPA requirements. Browser demo uses simulated data only.