whisper-cpp-serve Real-time speech recognition and c+ of OpenAI's Whisper model in C/C++
A web application that allows users to record and share videos instantly with their prospects with the power of AI.
Go OpenAI-compatible LLM gateway route chat/responses/messages across providers with multi-key failover, Anthropic↔OpenAI↔Gemini translation, admin console + telemetry.
A terminal agent that shows you what it is allowed to do, what it is spending, and what it refused — while it works.
An Agent SDK for building AI agent workflows with type-safe tools, memory, execution loops, handoffs, guardrails, and streaming capabilities.
This repository provides a cloud-deployed AI platform designed to support Credit for Prior Learning (CPL) evaluation through structured conversational interviews, evidence collection, and stakeholder-facing demonstrations.
CLI pipeline: Whisper (local) → LangChain → GPT-4o mini → structured resume JSON + Markdown. Speak your background, get a formatted resume.
A fusion of AI and photography, integrating OpenAI and ElevenLabs technologies to automatically generate and vocalize descriptions for photographic content. Designed with security and ease of content management in mind, it's powered by Contentful, Next.js, Typescript, and Tailwind.
It is web application that allows users to ask questions about Python and get answers .
A lightweight .NET library for interfacing with LLM deployments in Microsoft Foundry (formerly *Azure AI Foundry*).
The Prometheus monitoring system and time series database.
Bot de WhatsApp que utiliza OpenAI para generar respuestas automáticas. La función principal inicializa el bot, define un flujo de conversación que se activa en eventos de bienvenida y utiliza OpenAI para generar respuestas basadas en el contexto
Production multi-agent AI system that analyses job posts against your CV using LangGraph, RAG, and FastAPI
En moderne AI-drevet kundestøtte-API-tjeneste bygget med FastAPI, vector search, og en RAG-pipeline. Prosjektet støtter både Real mode: Bruker OpenAI embeddings + LLM (krever API-nøkkel) og Mock Mode: Ingen API-nøkkel nødvendig, hele systemet fungerer med simulerte embeddings + simulerte RAG-svar.
Where Artificial Intelligence Meets Journalism Excellence
A Model Context Protocol (MCP) server built with Node.js and TypeScript to control smart bulbs over IP.
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