Analysis
This project brilliantly showcases the power of combining Large Language Models (LLMs) with modern serverless architectures to solve everyday consumer problems. By leveraging the Gemini API to seamlessly parse inconsistent HTML pricing tables into structured JSON data, the developer has created an incredibly practical and user-centric application. It stands as an inspiring example of how independent developers can build sophisticated, multimodal AI systems that bring genuine transparency to complex markets.
Key Takeaways
- •The AI agent utilizes a batch processing layer with Playwright to scrape electricity provider websites, relying on the Gemini API to transform unstructured HTML pricing data into structured JSON.
- •Users can interact with the system in real-time via a LINE Bot powered by a FastAPI backend hosted on Cloud Run, providing a dynamic and conversational recommendation experience.
- •The architecture features a highly flexible LLM provider abstraction layer, allowing developers to easily switch between Gemini and Claude models using just an environment variable.
Reference / Citation
View Original"「自分の電気代って本当に最適なプランなの?」 この疑問に答えるために、800社超の電力会社のプランを横断比較するAIエージェントを個人の学習プロジェクトとして作りました。"
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