In the JS AI Build-a-thon, quest 9 was all about shipping faster, smarter, and more confidently. This quest challenged developers to skip the boilerplate and focus on what really matters, solving real-world problems with production-ready AI templates and cloud-native tools.
And wow, did our builders deliver, with a massive 28 projects. From personalized chatbots to full-stack RAG applications, participants used the power of the Azure Developer CLI (azd) and robust templates to turn ideas into fully deployed AI solutions on Azure, in record time.
What This Quest Was About
Quest 9 focused on empowering developers to:
- Build AI apps faster with production-ready templates
- Use Azure Developer CLI (azd) to deploy with just a few commands
- Leverage Infrastructure-as-Code (IaC) to provision everything from databases to APIs
- Follow best practices out of the box — scalable, secure, and maintainable
Participants explored a curated gallery of templates and learned how to adapt them to their unique use cases. No Azure experience? No problem. azd made setup, deployment, and teardown as simple as azd up.
??And the winner is.....
With the massive votes from the community, the winning project as AI Academic advisor by Aryanjstar
AI Career Navigator - Your Personal AI Career Coach by Aryanjstar
Aryan, a Troop Leader of the Geo Cyber Study Jam, created the AI Career Navigator to address common challenges faced by developers in the tech job market, such as unclear skill paths, resume uncertainty, and interview anxiety. Built using the Azure Search OpenAI Demo template, the tool offers features like resume-job description matching, skill gap analysis, and dynamic interview preparation. The project leverages a robust RAG setup and Azure integration to deliver a scalable, AI-powered solution for career planning.
?? Other featured projects:
Deepmine-sentinel by Josephat-Onkoba
[Project Submission] Deepmine-Sentinel · Issue #29 · Azure-Samples/JS-AI-Build-a-thon
DeepMine Sentinel AI is an intelligent safety assistant designed to tackle the urgent risks facing workers in the mining industry, one of the most hazardous sectors globally. Built by customizing the “Get Started with Chat” Azure template, this solution offers real-time safety guidance and monitoring to prevent life-threatening incidents like cave-ins, toxic gas exposure, and equipment accidents. In regions where access to safety expertise is limited, DeepMine Sentinel bridges the gap by delivering instant, AI-powered support underground, ensuring workers can access critical information and protocols when they need it most. With a focus on accessibility, real-world impact, and life-saving potential, this project demonstrates how AI can be a powerful force for good in high-risk environments.
PetPal - Your AI Pet Care Assistant by kelcho-spense
PetPal is an AI-powered pet care assistant designed to support pet owners, especially first-timers, by offering instant, reliable answers to common pet-related concerns. From health and nutrition advice to emergency support and behavioral training, PetPal uses a serverless architecture powered by LangChain.js, Azure OpenAI, and Retrieval-Augmented Generation (RAG) to deliver accurate, context-aware responses. The app features a warm, pet-themed interface built with Lit and TypeScript, and includes thoughtful customizations like pet profile management, personalized chat history, and species-specific guidance. With backend services hosted on Azure Functions and data stored in Azure Cosmos DB, PetPal is production-ready, scalable, and focused on reducing anxiety while promoting responsible and informed pet ownership.
MLSA LearnBot by Shunlexxi
[Project Submission] MLSA LearnBot · Issue #67 · Azure-Samples/JS-AI-Build-a-thon
Navigating the Microsoft Learn Student Ambassadors program can be overwhelming. To solve this, a student built an Intelligent Chatbot Q&A App using a Microsoft azd template, transforming a generic AI chatbot into a tailored assistant for Student Ambassadors and aspiring members. By integrating essential documentation, FAQs, and natural language support with Azure services like App Service, AI Search, and OpenAI, this tool empowers students to get instant, reliable answers and navigate their roles with ease. The front end was customized to reflect a student-friendly brand, and deployment was simplified using azd for a seamless, production-ready experience.
You okay? Meet Vish AI, your mental health companion by ToshikSoni
Vish.AI is an empathetic GenAI companion designed to support emotional well-being, especially for individuals facing depression, loneliness, and mental burnout. Built using Azure’s AI Chat RAG template and enhanced with LangChain for conversational memory, the assistant offers a deeply personalized experience that remembers past interactions and responds with both emotional intelligence and informed support. By integrating a curated collection of resources on mental health into its RAG system, Vish.AI provides meaningful guidance and a comforting presence, available anytime, anywhere. Created to bridge the gap for those who may not feel comfortable opening up to friends or family, this project combines AI with a human touch to offer always-accessible care, demonstrating how thoughtful technology can help make life a little lighter for those quietly struggling.
Want to Catch Up?
If you missed the Build-a-thon or want to explore other quests (there are 9!), check them out here: ?? GitHub - Azure-Samples/JS-AI-Build-a-thon
If you want to catch up with how the challenge went and how you can get started, check out ??JS AI Build?a?thon: Wrapping Up an Epic June 2025! | Microsoft Community Hub
Join the Community
The conversation isn’t over. The Quests are now self-paced. We’re keeping the momentum going over on Discord in the #js-ai-build-a-thon channel. Drop your questions, showcase your builds, or just come hang out with other builders.
?? Join the community on Join the Azure AI Foundry Discord Server!
Additional Resources
Microsoft