CASE EVIDENCE / A RECORD
AWS Samples (AWS Hackathon France 2024 winner) 公开的研究与报告生成案例，来源为 公开代码库，复核于 2026-06-26T20:15:00Z。
原始记录：AWS Food Analyzer: Serverless Nutrition App Uses Claude 3 Haiku for Real-Time Ingredient Analysis and Recipe Generation
Chinese Brief
AWS Samples (AWS Hackathon France 2024 winner) 公开的研究与报告生成案例，来源为 公开代码库，复核于 2026-06-26T20:15:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。 Model Atlas 不把 benchmark、教程、发布说明或集合页包装成真实案例。
任务
这是一个围绕研究分析和报告生成的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：Personalized nutritional analysis of grocery products via barcode scanning and food photo recognition; generate ingredient explanations, quantitative allergen detection, and personalized recipe suggestions based on user…
公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：Production serverless app deployed on AWS (Lambda + DynamoDB + S3 + CloudFront + Bedrock); winner of AWS Hackathon France 2024; showcased at multiple AWS Summit events; processes product barcodes and food photos with pe…
Claude 3 Haiku 在该案例中承担研究分析和报告生成相关的生成、分析、编排或实现角色。 原始资料写作：Claude 3 Haiku was explicitly chosen as 'a good ratio between latency and quality' for real-time food ingredient analysis, allergen detection, and recipe generation. Handles multi-shot prompt engineering for generating …
当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：AWS sample/demo project built for hackathon and summit demos, not a commercial product with paying customers. However, it is a real deployed application with production-grade serverless architecture and demonstrates Cla…