0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Fee Monitoring Agent memantau yuran.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Ambil data yuranDatabase — pelajar, bayaran, tunggakan
2
🔍
Semak bayaranKirakan status pembayaran
3
🔔
Hantar notifikasiPeringatan kepada pelajar tunggakan
4
📊
Jana laporanRingkasan bayaran + arrears
import requests, json, pandas as pd
API_FEES = "https://api.univ.edu/v1/fees"
def fetch_fees():
resp = requests.get(API_FEES)
return resp.json().get("fees", [])
def analyze_fees(fees):
df = pd.DataFrame(fees)
report = {
"total_students": len(df),
"paid_count": len(df[df["status"] == "Paid"]),
"arrears_count": len(df[df["status"] == "Arrears"]),
"total_arrears": df[df["status"] == "Arrears"]["amount"].sum()
}
return report
fees_report = analyze_fees(fetch_fees())
print(json.dumps(fees_report))
04 Block Diagram
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05 System Schematic
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⚠️ Jangan kemukakan maklumat kewangan pelajar tanpa kebenaran.
06 Simulasi Pemantauan Yuran
Mula Pemantauan
Ali M.RM 2,100Paid
Bala K.RM 2,100Paid
Chan S.RM 2,100Arrears
Devi P.RM 2,100Paid
TotalRM 8,400Processed
07 Fee Monitoring Report
Terminal Log
[SISTEM] Fee Monitoring Agent sedia
System Architecture
🤖 Agent Layer
Fee fetcher
Payment tracker
Arrears finder
LLM reporter
🎓 Education Layer
Fee DB
Payments
Arrears
Reports
Safety Notes
- Student financial data is confidential and protected.
- Human review needed before sending payment reminders.
- Verify fee structures match university policy.
- Browser demo does not access real financial records.