0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat bagaimana Student Result Analysis Agent menganalisis keputusan pelajar.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Scan grade dataIrregular nilai, GPA, trend
2
🧮
Kira GPA purataPurata kumulatif pelajar
3
🔍
Kenal pasti risikoDeteksi pelajar terancam
📊
Laporan intervensiAnalisis & cadangan tindakan
import pandas as pd, numpy as np
RESULTS = "data/student_results.csv"
def fetch_results():
return pd.read_csv(RESULTS)
def analyze_results(df):
df["gpa"] = df["score"] / 25
at_risk = df[df["gpa"] < 2.5]
return {"avg_gpa": df["gpa"].mean(), "at_risk": len(at_risk), "top_grade": df["grade"].max()}
def generate_report(results):
return f"Avg GPA: {results['avg_gpa']:.2f}, At-risk: {results['at_risk']}"
report = generate_report(analyze_results(fetch_results()))
print(report)
04 Block Diagram
Menunggu Sedang aktif Selesai
05 System Schematic
Menunggu Sedang aktif Selesai
⚠️ Student data must comply with PDPA and institutional privacy policies.
06 Simulasi Analisis Keputusan
Mula Analisis
Ahmad B.3.75UpLow
Siti K.3.92SteadyLow
Rajesh M.2.10DownHigh
Linda T.3.25UpMedium
Summary3.26Mixed1 High
07 Result Analysis Report
Demo
Student Result Analysis
Terminal Log
[SISTEM] Student Result Analysis Agent sedia
System Architecture
🤖 Agent Layer
Grade analyzer
Trend detector
Risk assessor
LLM report
🎓 Education Layer
LMS API
Grade data
Performance
Intervention export
Safety Notes
- Student data must comply with PDPA and institutional privacy policies.
- Human review required before any intervention actions.
- Verify grade calculations with academic records.
- Browser demo does not touch real student databases.