AI solution from team waqas_team for AMD Developer Hackathon: ACT III hackathon ...

Discharge instructions can be difficult to read, especially when they contain medical abbreviations, handwritten medication details, unclear schedules, or unfamiliar clinical language. DischargeDost ...

SupplyWatch watches supplier pages (price, lead time, stock, minimum order) and raises alerts a procurement team can actually audit: every value in an alert carries the exact span of page text it came ...

An autonomous web retrieval agent built for AMD AI League Match 4: Intelligent Web Information Retrieval. The agent accepts natural-language requests (for example: "find the current lead time for part ...

Long Description Industrial Fault Copilot is an AI-powered troubleshooting assistant designed to help industrial maintenance teams diagnose equipment faults faster and more reliably. The system ...

In high-volume semiconductor automated test environments (ATE), intermittent RF test failures present a costly operational dilemma: Is the Device Under Test (DUT) defective, or has the measurement ...

RAG solution for Mini-Challenge 3: retrieval-augmented question answering over a mixed-type document corpus with exact-set citations. Architecture: a persistent server holds a vision-language model ...

OpenAI shelves GPT-6.1 Astra over safety concerns, the FTC probes autonomous agents, and Google restricts Gemini 4 Argon.

We are building an AI agent focused on solving real-world problems through autonomous reasoning, contextual decision-making, and practical task execution. Our goal is to create a useful, scalable and ...

Modern CI/CD pipelines fail across compilation, dependencies, tests, config, and security — and developers spend real time every week manually tracing logs, finding root causes, writing fixes, and ...

### Problem Statement When developers join an existing software project, understanding an unfamiliar codebase can take hours or even days. They need to identify the project structure, technologies, ...

### Problem Statement Modern cloud-native applications frequently consist of dozens to hundreds of microservices deployed across distributed Kubernetes clusters and multiple availability zones.