Showing 4 open source projects for "codeigniter video chat"

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    TikTok MCP

    TikTok MCP

    Model Context Protocol (MCP) with TikTok integration

    The TikTok MCP integrates TikTok access into AI applications like Claude AI via TikNeuron. It enables analysis and interaction with TikTok content to determine virality factors and extract video content. ​
    Downloads: 3 This Week
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  • 2
    FastRTC

    FastRTC

    The python library for real-time communication

    FastRTC is a Python library designed to simplify real-time communication (RTC), especially for audio and video streaming applications. It abstracts away much of the complexity that typically comes with implementing WebRTC by providing a simple interface — e.g. a Stream class — that can be mounted within a web backend (for example a FastAPI application). This makes it particularly well suited for building real-time voice (or video) interfaces for applications such as AI assistants, live chat, or collaborative audio/video tools. ...
    Downloads: 0 This Week
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  • 3
    AI-Media2Doc

    AI-Media2Doc

    AI tool converting video/audio into structured documents instantly

    AI-Media2Doc is a web-based application that uses large language models to convert video and audio content into structured, readable documents in a single workflow. It is designed to transform multimedia inputs into formats such as knowledge notes, summaries, mind maps, and social-style articles, making content easier to review and reuse. AI-Media2Doc emphasizes privacy by processing media locally in the browser using WebAssembly-based ffmpeg, ensuring that original video files are not...
    Downloads: 1 This Week
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  • 4
    Generative AI for Beginners (Version 3)

    Generative AI for Beginners (Version 3)

    21 Lessons, Get Started Building with Generative AI

    ...Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. Each lesson includes a short video, a written guide, runnable samples for Azure OpenAI, the GitHub Marketplace Model Catalog, and the OpenAI API, plus a “Keep Learning” section for deeper study.
    Downloads: 5 This Week
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