SUMMARY AI summary by gpt-5-mini
このリポジトリは、Model Context Protocol（MCP）とGoogleの大規模モデル（Gemini）を使って、実データと地理空間インサイトを結びつけるロケーションインテリジェンスAIエージェントの実装例です。目的はロサンゼルスでのプレミアムサワードウベーカリーの最適出店地と価格戦略を導くことで、LLMを用いた意思決定支援ワークフローを示します。 想定ユーザーは、ロケーション分析や小売戦略を扱うデータサイエンティスト、リテールアナリスト、クラウド開発者です。主な機能は以下のとおりです。 - BigQueryを用いたマクロ探索（朝の歩行者トラフィックの高い郵便番号抽出） - Google Mapsによる競合密度検証 - 市場データに基づく価格設定提案（例：サワードウ1斤約18ドル） - 過去データに基づく売上予測 構成はADKエージェント（adk_agent）、合成データ（data）、インフラ自動化スクリプト（setup）など。セットアップ手順（.env設定、BigQueryロード、ADKウェブ起動）も含まれます。
DETECTED Detected AI stack
AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.
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Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 50 / 100
Position among AI repos in the same language
We track 962 Shell repos, of which 847 score 40 or above on AI relevance. 243 have more stars than this one (top 25.4%), and 485 score higher (top 50.5%).
Owner
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-18 16:14 |
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