# Azure App Service Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/azure-app-service
> Markdown URL: https://aitinkerers.org/technologies/azure-app-service.md
> Technology record last updated: 2026-02-27T16:06:46Z
> Generated: 2026-09-23T09:41:17Z

Azure App Service is a fully managed Platform-as-a-Service (PaaS) for building and scaling web apps, APIs, and mobile backends (Windows/Linux) without infrastructure management overhead.

This is Microsoft's Platform-as-a-Service (PaaS) solution for fast, global deployment of web applications, RESTful APIs, and mobile backends. App Service handles the infrastructure: OS patching, security, and automatic scaling, allowing developers to focus strictly on code. It supports major runtimes including .NET, Java, Node.js, Python, and PHP, plus custom containers. Leverage built-in CI/CD integration (Azure DevOps, GitHub Actions) and configure auto-scale rules to handle traffic spikes instantly.

- Official technology site: https://azure.microsoft.com/en-us/products/app-service/
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Tenderwise AI-Powered Information Extraction from Tenders](https://bremen.aitinkerers.org/talks/rsvp_8-mQk8tgQIA)

Tenderwise is a web-based Streamlit application that automates the extraction of structured information from unstructured tender documents. It is designed to support procurement, sales, and legal teams by accelerating the analysis of complex tender texts and identifying key requirements, deadlines, and decision-relevant metadata.

- Event context: AI Tinkerers Bremen — 2025-12-10 — Bremen
- Public talk page: https://bremen.aitinkerers.org/talks/rsvp_8-mQk8tgQIA

### [Multi-agent demo with Microsoft Semantic Kernel](https://toronto.aitinkerers.org/talks/rsvp_njQDdpXybEg)

The demo is called Personal Finance agent a multi-agent proposal with the following components: 🔗 Chainlit: A web app with a user-friendly conversational interface. 🧠 Semantic Kernel: Orchestrates conversations by choosing the right agent for each message. 🖼️ Blob Storage: Stores uploaded images from users. The solution include the following finance Agents 👨‍💼 HostAgent: Manages the conversation context and answers questions about personal finance and how the app works. 🛠️ SetupAgent: Helps you configure your accounts, payment methods, and spending/income categories. 💳 TransactionsAgent: Registers your financial transactions with minimal friction. 📷 VisionAgent: Reads receipts and invoices to extract key information automatically. 📊 AnalyzerAgent: Analyzes your data to offer insights, summaries, projections, and visualizations

- Event context: AI Tinkerers Toronto - May 2025 Meetup: AGENTS at Ada — 2025-05-22 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_njQDdpXybEg

### [Virtual assistant for a tourism company based on AI Agents and RAG](https://medellin.aitinkerers.org/talks/rsvp_rek02Hz6V7Y)

Asistente virtual desarrollado para una empresa de turismo en el que se hace uso de Agentes de IA y RAG. Está conectado a toda la información de la empresa: Hoteles, toures, eventos que organizan, información del staff, información de la empresa y normativas, información de advisors, etc. Toda la arquitectura está basada en servicios de Microsoft, los servicios de speech to text y text to speech son usando los SDK del cognitive service de Azure, los embedding y LLM de AZ OpenAI, la base de datos vectorial del sistema RAG es AI Search, todas las preguntas y respuestas se almacenan en CosmosDB, y está desplegado como una app service en AZ. Trabajé con un enfoque de agentes pero no usando CrewAI u otro framework opensource sino creando mi propio crew de agentes especializados en cada entidad (viajes, staff, eventos, etc) y un orquestador que se encarga de enrutar la pregunta al agente especializado.

- Event context: AI Tinkerers Medellín #3 - Microsoft - 19 de Junio — 2024-06-19 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_rek02Hz6V7Y

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