Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Microsoft

Founded in 1975 by Bill Gates and Paul Allen, Microsoft has grown to become one of the world's most influential technology companies. Originally known for its operating system, MS-DOS, and later, the Windows OS, Microsoft has continuously expanded its product portfolio to include a wide range of software, hardware, and cloud-based services. The company’s mission is to empower every person and organization on the planet to achieve more. Microsoft is a key player in the development and deployment of innovative technologies, including artificial intelligence (AI), cloud computing, and enterprise software. With a strong commitment to research and development, Microsoft is at the forefront of technological advancement, providing solutions that address the needs of both consumers and businesses around the world.

Over the decades, Microsoft has also made significant acquisitions, including LinkedIn and GitHub, enhancing its influence and capabilities in professional networking, software development, and open-source communities. The company continues to push the boundaries of technology with its Azure cloud platform, AI initiatives, and hardware offerings like the Surface series of devices.

General
CompanyMicrosoft
FoundedApril 4, 1975
Repositoryhttps://github.com/microsoft

Start Building with Microsoft’s Products

Microsoft offers a vast ecosystem of products and services that cater to developers, businesses, and consumers alike. From the Windows operating system to the Azure cloud platform, Microsoft’s technologies power everything from personal devices to large-scale enterprise applications. Whether you're building cutting-edge AI applications, developing business solutions, or creating consumer software, Microsoft provides the tools and platforms needed to succeed. Explore the apps created with these technologies during lablab.ai hackathons to see their potential in action.

Microsoft Products

Azure

Azure is Microsoft's cloud computing platform, providing a wide range of services including virtual machines, AI, analytics, and IoT. It supports businesses in building, managing, and deploying applications at scale. Learn more about Azure

GitHub

Acquired by Microsoft, GitHub is a platform for version control and collaboration, hosting millions of software projects. It’s essential for developers looking to manage code and collaborate with teams. Visit GitHub

Office 365

Office 365 is a suite of productivity tools that includes Word, Excel, PowerPoint, and Teams, among others. It’s designed to improve collaboration and productivity across organizations. Explore Office 365

Power BI

Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Discover Power BI

AutoGen

AutoGen is an advanced open-source framework by Microsoft designed for building multi-agent systems powered by large language models (LLMs). Learn more about AutoGen

Visual Studio

Visual Studio is an integrated development environment (IDE) from Microsoft used to develop computer programs, websites, web apps, web services, and mobile apps. Explore Visual Studio

By leveraging Microsoft’s diverse range of products, developers and businesses can build powerful, scalable, and innovative solutions. Check out the apps created with Microsoft’s technologies during lablab.ai hackathons to see how they are being used in real-world scenarios.

Microsoft AI Technologies Hackathon projects

Discover innovative solutions crafted with Microsoft AI Technologies, developed by our community members during our engaging hackathons.

AI-Powered ISO 27001 Audit Intelligence Platform

AI-Powered ISO 27001 Audit Intelligence Platform

ISMS 2026 — AI-Powered ISO 27001 Document Intelligence Platform ISMS 2026 is a full-stack, locally-hosted document management and AI assistant platform built for the company to support ISO 27001:2022 Information Security Management System compliance. The system consolidates 824+ ISMS documents — including policies, procedures, control frameworks, risk registers, and mandatory ISO documentation — into a searchable, AI-queryable knowledge base that operates entirely on-premises without any external API dependencies. The platform consists of three core components: a Next.js 14 frontend (port 3001) providing a modern dark/light-mode UI with global document search, an AI chat panel, and real-time sync controls; a Node.js/Express backend (port 3000) handling document ingestion, semantic search via a metadata index, and REST API endpoints; and a local Ollama instance running the phi3 language model for AI-powered Q&A grounded in actual ISMS documents through Retrieval-Augmented Generation (RAG). Key features include debounced full-text search with relevance scoring across all document types (PDF, DOCX, XLSX, TXT), an AI assistant that references specific ISO control identifiers (e.g., A.5.1, A.8.2) and actual document names in its answers, and a one-click Sync Docs button that intelligently diffs the repository folder against the search index — automatically ingesting newly added files and purging deleted ones, keeping the index perpetually current. All three services — backend, frontend, and Ollama — start automatically at Windows boot via PM2 process manager and Windows Task Scheduler, with crash recovery and auto-restart built in. No manual terminal intervention is ever required.

TridenGuard

TridenGuard

TridenGuard is a deterministic validation system for LLM outputs in legal and financial contracts. It addresses a critical gap in enterprise AI adoption: LLMs hallucinate, but contracts don't forgive. The system enforces a neuro-symbolic isolation architecture. First, Lobster Trap (Veea) blocks prompt injections, PII leaks, and data exfiltration at the ingress layer. Second, a local Phi-4-mini model extracts 8 atomic radicals: Actor, Deontic, Action, Object, Temporal, Spatial, Metric, and Condition. Third, a deterministic validator applies 8 exclusion rules (R1-R8) and a grounding check that verifies every radical exists literally in the source text. If a structural failure is detected — for example, an orphan metric without an actor — the case is quarantined in a forensic panel. A human lawyer reviews the case, approves or discards it, and that decision becomes training data for a sovereign local LoRA model. The system also exports audit reports in CSV for regulatory compliance. TridenGuard is designed to run on Veea Edge Nodes: low-latency, air-gapped, and fully sovereign. No cloud. No data leakage. The enterprise owns its intelligence. Benchmark results (Phase 1, 20 cases): 100% block rate for prompt injections and PII, 100% interception of real-world court hallucinations (Lacey v. State Farm, Russell v. Mells, Lexos Media, Baidu AI), 87.5% structural validator accuracy, and 85% overall pipeline accuracy. A 64-case benchmark matrix is designed for V2. Roadmap: V2 adds TOON + GBNF token-level governance and Fisher's Exact Test for statistical threat hunting. V3 adds sovereign local LoRA fine-tuning from human decisions. Built for Veea Edge Nodes.

Qubic Liquidation Guardian

Qubic Liquidation Guardian

Qubic Liquidation Guardian is a hybrid Track 1 + Track 2 project built by CrewX that brings real-time liquidation protection, institutional-grade risk analysis, and automated alerting to the Qubic Network. The problem is simple: DeFi liquidations happen instantly, but users do not get instant signals. As a result, borrowers lose capital, protocols lose liquidity, and investors hesitate to adopt new systems without safety infrastructure. Inspired by this gap, Qubic Liquidation Guardian provides a complete safety layer over lending protocols deployed on the Nostromo Launchpad. At its core, the system includes an on-chain event listener and a real-time risk scoring engine, which analyzes: • Health Factor • Liquidation Proximity • Total Debt Exposure • Active Positions These metrics are combined into a 0–100 Risk Score, dynamically updated for each borrower. Based on the score, users are automatically classified into Low, Medium, High, and Critical risk tiers, enabling rapid decision-making. The platform also includes advanced features such as: • Whale Watch: Detect large-value transactions to anticipate market shifts • Smart Alerts: Severity-based notifications connected to any tool • Auto-Airdrop: Rewards for users who resolve high-risk positions • Crash Simulator: A built-in testing environment to simulate -70% market dumps, rebounds, and full resets to verify protocol safety Qubic Liquidation Guardian is designed to strengthen the Nostromo ecosystem by improving investor confidence, increasing protocol safety, and enabling risk-aware liquidity management. With over 35 production-ready API endpoints, an edge-distributed database, and a Next.js 15 architecture, the application is fully deployable and already live for testing. Ultimately, this project delivers exactly what new chains and protocols need: speed, stability, transparency, and automation—making Qubic safer for everyone.

The Intelligent Home

The Intelligent Home

An Intelligent Home is a modern living environment where everyday household systems—lighting, climate control, security, entertainment, and appliances—are interconnected through a network of smart devices and sensors. These components communicate seamlessly, enabling the home to monitor its own state and respond to user needs automatically. The goal is to create a living space that enhances comfort, convenience, and safety while reducing manual effort. At the center of an Intelligent Home is a smart home hub, which acts as the system’s brain. It manages communication between devices, processes real-time sensor data, and allows users to interact with the environment through voice commands, mobile apps, or automated routines. Through machine learning, the home can recognize patterns—such as daily schedules or common behaviors—and adjust settings automatically, like dimming lights in the evening or pre-cooling before residents arrive. A defining feature of an Intelligent Home is its ability to be context-aware. Using sensors that track motion, temperature, occupancy, and environmental changes, the home adapts to real-time conditions. For example, lighting can adjust based on natural sunlight, thermostats can adapt to user comfort levels, and security systems can differentiate between routine activity and potential threats. This awareness enables the home to evolve and provide increasingly personalized experiences. Another key aspect is connectivity and interoperability. Intelligent Homes support a broad ecosystem of devices and technologies using standards such as Wi-Fi, Zigbee, Z-Wave, and Matter, ensuring that products from different manufacturers work together seamlessly. This flexibility allows homeowners to expand, upgrade, or customize their setup without being locked into a single brand. A unified network enables synchronized automation—like having lights, security, and climate systems work in harmony based on a single trigger or routine.