π¬Tekan Play Demo untuk lihat bagaimana Campus Knowledge Base Agent menjawab soalan pelajar.
Demo Complete All Stages Generated
01 WhatsApp Command
π«
Generic Agent AI AINNA Agent
β Neural Link Active
02 Requirement Analysis
Queries
42
Answered
36
Depts
8
Avg Conf
87%
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03 Python Script Generation
1
β
Terima soalanReceive student query
2
π
Cari pangkalan pengetahuanSearch knowledge base
3
π€
Rumus jawapanFormulate answer
4
π
Log & laporanLog and generate report
import pandas as pd
from datetime import datetime
def search_knowledge_base(query, kb):
results = []
for entry in kb:
if any(kw in query.lower() for kw in entry['keywords']):
results.append(entry)
return sorted(results, key=lambda x: x['relevance'], reverse=True)
kb = pd.read_json('campus_kb.json').to_dict('records')
query = "How do I apply for financial aid?"
answers = search_knowledge_base(query, kb)
if answers:
print(f"Answer: {answers[0]['response']}")
else:
print("Query escalated to admin")
04 Block Diagram
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05 System Schematic
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β οΈ Campus knowledge base responses should be verified against official policies before distribution.
06 Simulasi Knowledge Query
Mula Sesi
Queries
0
Answered
0
Confidence
0%
Depts
0
07 Knowledge Base Report
Demo
Campus KB
Queries
0
Answered
0
Confidence
0%
Status
Standby
Terminal Log
[SISTEM] Campus Knowledge Base Agent sedia
System Architecture
π± Command Layer
WhatsApp instruction
π€ Agent Layer
Query parser
KB searcher
Answer formatter
π« Campus Layer
Knowledge base
Dept policies
Escalation system
Reports
Safety Notes
Verify knowledge base responses against official campus policies.
Configure escalation for unanswered or complex queries.