3 Innovative Ways Developers Are Building with AI

AI is reshaping industries and opening up new opportunities for startups and companies to grow. Azure AI is at the forefront of this change, providing a comprehensive suite of tools to help you build, manage, and deploy AI applications at scale. Programs such as Microsoft Founder Hub for Startups Includes access to Azure AI models and tools so founders can turn innovative ideas into reality.

Last April, Microsoft hosted a multimodal theme. Generative AI Hackathon At Devpost, developers showcased projects built with Azure AI. Hackathon participants used Azure AI to create innovative solutions across education, accessibility, fashion, media, and more. There were a variety of use cases that responsibly solved real-world problems.

1. AI as a catalyst for improved learning

Project: ChatEDU | industry: education

ChatEDU shows how AI can transform education by creating personalized, interactive learning experiences. This project goes beyond simple automation to provide a dynamic co-pilot that evolves with students and fosters curiosity and skill building.

“Choosing Azure AI was a game changer for us. A powerful set of tools has enabled us to transform a wealth of educational data resources into intuitive, interconnected products. This was pivotal in creating ChatEDU, a personalized, multi-modal education tool that enhances the student learning experience.” – Jason Hedman | Founder | ChatEDU

The solution uses: Azure AI services Understand and process knowledge files uploaded by students, like Azure Document Intelligence. This information from multiple data sources (plain text, images, video, PDF) is stored in: Azure Cosmos DB. These files are then analyzed to extract topics and connections to create interactive learning paths that students can use to achieve their learning objectives.

2. AI for accessibility and inclusion

Project: Garbis, Gino.AI | industry: technology, media

GARVIS redefines accessibility by allowing users to explore visual tasks without relying on verbal explanations. This app utilizes the following model: Azure OpenAI service It detects and analyzes objects and the environment, replacing text-based instructions with intuitive visual demonstrations. Used with Unity engine Microsoft CoPilot To increase coding productivity, this application makes advanced mixed reality assistants available to everyone. The ability to use multiple Microsoft products together simplifies a complex space.

Another example of seamless integration is Gino.AI, which allows you to access and use information in a way that suits your learning style. Azure AI Search It is used to index and efficiently query information in the ‘Mind Base’ knowledge space. Azure AI visionThe system can extract text from images to enrich the content available to users. To ensure responsible use of AI, Azure AI content safety Filter out harmful material from chatbot responses, summaries, podcast scripts, and other sources.

3. Maximize existing data using AI

Project: FarmFundAI, wine whiz, doxie, therapy | industry: Agriculture, Retail, Healthcare

FarmFundAI shows how AI can create new value from existing information to help farmers secure funding by demonstrating sustainability and crop yield potential. By analyzing satellite and drone images through the built-in app, Azure AI Studio and Azure FunctionsUsers can discover insights such as crop health that are important for investment decisions.

This concept of leveraging existing public data is also seen in Winewiz, which simplifies the wine selection and gifting process by providing AI-powered conversational advice and gift card creation. conjugation Azure AI VoiceEnhance the user experience and make the selection process intuitive by providing conversational communication through Speech-to-Text services. Likewise, Docsy saves healthcare professionals time and improves the accuracy of patient records with audio data processed through Azure AI Speech for transcription. Within the same healthcare space, Therapute is a physical therapy platform that uses: Azure Machine Learning We provide customized rehabilitation guidance 24 hours a day, 365 days a year.

Building multimodal and cross-domain AI applications

As you can see from the use cases above, Azure AI is versatile and supports multimodality across industries and domains that require different data types, including text, voice, images, and video. Take advantage of Azure AI model catalog One way to make the most of this flexibility is to be able to choose the right AI model for your specific needs and constraints, such as price, performance, and customization. Multimodal models such as GPT-4o via the Azure OpenAI service and Microsoft’s own Phi-3-vision are also part of the catalog of models you can try out. today.

It’s exciting to see developers leveraging Azure AI alongside other Microsoft products. speak to listen Here are some examples of how developers have used Azure AI: GitHub Co-Pilot The goal is to create high-quality apps that save time and bring characters to life. We look forward to seeing what developers will continue to build and innovate.

Feeling like starting your own project? Start your journey by exploring helpful tutorials and resources.

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