Centralize campus knowledge and answer student queries.
AI AgentLLM ServerEducationKnowledgeDetached System
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat bagaimana Campus Knowledge Base Agent menjawab soalan pelajar.
Demo Complete — All Stages Generated
01 WhatsApp Command
🏫
OpenClaw — AINNA Agent
● Neural Link Active
02 Requirement Analysis
Queries
42
Answered
36
Depts
8
Avg Conf
87%
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
❓
Terima soalanReceive student query
2
🔍
Cari pangkalan pengetahuanSearch knowledge base
3
🤖
Rumus jawapanFormulate answer
4
📋
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
Menunggu Sedang aktif Selesai
05 System Schematic
Menunggu Sedang aktif Selesai
⚠️ 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
📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Query parser
KB searcher
Answer formatter
🏫 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.