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README.md
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@@ -106,39 +106,12 @@ RewardPilot is an autonomous AI agent that analyzes your transaction in real-tim
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---
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## ποΈ Architecture
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### Multi-Agent MCP System
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-
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graph TB
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User[π€ User Input] --> Gradio[π¨ Gradio Interface]
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Gradio --> Orchestrator[π― Orchestrator<br/>Claude 3.5 Sonnet]
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Orchestrator --> Phase1[π Phase 1: Planning<br/>Analyze context + strategy]
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Phase1 --> Phase2[β‘ Phase 2: Execution<br/>Parallel MCP calls]
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Phase2 --> Phase3[π§ Phase 3: Reasoning<br/>Gemini 2.0 synthesis]
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Phase3 --> Phase4[π Phase 4: Response<br/>Format + deliver]
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Phase2 --> MCP1[π§ Smart Wallet MCP<br/>Card recommendations]
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Phase2 --> MCP2[π Rewards RAG MCP<br/>Semantic search]
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Phase2 --> MCP3[π Forecast MCP<br/>Spending predictions]
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MCP1 --> DB1[(π³ Card Database<br/>50+ cards)]
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MCP2 --> Vector[(π Vector Store<br/>LlamaIndex)]
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MCP3 --> ML[(π€ ML Models<br/>Forecasting)]
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Phase3 --> Gemini[π― Gemini 2.0 Flash<br/>Context synthesis]
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Phase4 --> Output[β
Recommendation<br/>+ Explanation]
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Output --> Gradio
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style Orchestrator fill:#667eea,color:#fff
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style Gemini fill:#4285F4,color:#fff
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style MCP1 fill:#10b981,color:#fff
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style MCP2 fill:#8b5cf6,color:#fff
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style MCP3 fill:#f59e0b,color:#fff
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```
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### MCP Microservices
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---
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## ποΈ Architecture
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### Multi-Agent MCP System
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### MCP Microservices
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