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Source channel @githubtrending · Post #15018 · Aug 1

#typescript#ai_bot#bot#http_api#python_bot#whatsapp#whatsapp_api#whatsapp_automation#whatsapp_bot#whatsapp_chat#whatsapp_web#whatsapp_web_api You can quickly set up WAHA, a WhatsApp HTTP API, on your own server using Docker in just a few minutes. It lets you send and receive WhatsApp messages (text, images, videos, voice) through simple HTTP requests, automating WhatsApp communication without limits on message volume or time. You start by running the API, creating a session by scanning a QR code with your phone, and then sending messages via API calls. This gives you full control, privacy, and flexibility to integrate WhatsApp messaging into your apps or services easily, without relying on third-party SaaS platforms[1]. https://github.com/devlikeapro/waha

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite