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Added cookie user identification and meal preference functionality (#1)
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Co-authored-by: Deniz Öztürk <750282004C4DEC44@mytum.de>
Co-authored-by: Sindi Buklaji <ge43yif@mytum.de>
Co-authored-by: Cem Sinan <cem.sinan@tum.de>
Co-authored-by: Robert Jandow <robert.jandow@tum.de>
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# DevOps W07 In-Class Exercise Template
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# DevOps W07 In-Class Exercise Solution
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This repository contains a full-stack application with a SvelteKit client and a Spring Boot server. It demonstrates modern web application architecture and DevOps practices.
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This repository contains a full-stack canteen application with a SvelteKit client, Spring Boot server, and LLM recommendation service. It demonstrates modern web application architecture and DevOps practices.
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## Project Overview
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This project includes:
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-**Client**: SvelteKit with TypeScript, TailwindCSS, and reusable UI components.
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-**Server**: Spring Boot Java application with RESTful APIs.
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-**DevOps**: Dockerized services, CI/CD pipelines, and production-ready deployment configurations.
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-**Client**: SvelteKit with TypeScript, TailwindCSS, and reusable UI components for browsing canteen meals.
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-**Server**: Spring Boot Java application with RESTful APIs, gRPC communication, and PostgreSQL integration.
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-**LLM Service**: Python FastAPI service for generating meal recommendations using AI.
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-**Database**: PostgreSQL for storing user preferences and application data.
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