AI Agent Finansial: Menyusun Laporan P&L Otonom dari Database Lokal

Hello friends! Have you ever imagined having an "autonomous assistant" that could directly access a local database, pull transaction data, and then generate its own Profit and Loss (P&L) report without us having to touch it at all? In our latest video, we'll be discussing an exciting project: "Financial AI Agent: Generating Autonomous P&L Reports from a Local Database"! 😎 Here, we're not just using a regular LLM for chatting; we're actually building an intelligent and autonomous Financial AI Agent. What will we discuss and learn? 🛠️ Google ADK (Agent Development Kit): A powerful framework from Google for building structured AI agents. 🔌 Model Context Protocol (MCP): The latest technology for bridging LLM (Gemini) to communicate directly with local data securely. 🗄️ SQLite Integration: How AI agents read schemas, query financial data, and accurately compile P&L reports. For those of you curious about the source code or want to get hands-on with coding, all the code is open-source and can be accessed on the Halovina GitHub below: 👉 GitHub Repository: https://github.com/halovina/google-ad... #agenticai #aiagents #automation #python