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💬Tekan Play Demo untuk lihat bagaimana SWOT Analysis Agent menganalisis perniagaan.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📥
Ambil data perniagaanLoad financial & market data
2
🔍
Analisis faktorEvaluate S.W.O.T factors
3
⚠️
Janakan insightGenerate strategic insights
4
📊
Laporan SWOTOutput analysis report
import pandas as pd
from datetime import datetime
def analyze_swot(business_data):
strengths = []
weaknesses = []
opportunities = []
threats = []
# Analyze each factor
for item in business_data:
if item['type'] == 'strength':
strengths.append(item['text'])
elif item['type'] == 'weakness':
weaknesses.append(item['text'])
return {'S': strengths, 'W': weaknesses,
'O': opportunities, 'T': threats}
def generate_report(swot_data):
# Generate strategic recommendations
pass
04 Block Diagram
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05 System Schematic
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⚠️ SWOT analysis uses historical data; verify market data before strategic decisions.
06 Simulasi SWOT Analysis
Analyzing...
Terminal Log
[SISTEM] SWOT Analysis Agent sedia
System Architecture
🤖 Agent Layer
Data analyzer
Factor evaluator
Insight generator
📊 Business Layer
Financial DB
Market data
SWOT model
Reports
Safety Notes
- SWOT analysis uses historical data; verify market data before decisions.
- Review insights with business stakeholders.
- Configure role-based access for sensitive data.
- Browser demo uses simulated data only.