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Mediscribe Pro is an AI-powered medical scribing, charting, and documentation tool, catering to the needs of healthcare professionals. Our primary objective is to alleviate the burden of paperwork, thereby minimizing burnout among healthcare professionals.

An agentic AI tool designed to seamlessly interact with existing databases using an agentic AI approach. This project aims to simplify the process of querying databases, making it more intuitive and accessible for everyone.

Easily add blockchain capabilities to your GPT like running auctions, organizing charities, rentals and escrow payments, and minting diplomas or NFTs. The aim is to simplify Web3 UX by having AI execute transactions automatically or prepare them for the user.

Pipeless Agents allows you to run automations that get triggered by visual inputs, from cameras, streaming platforms, or any video source. You do not need to know anything about vision, it automatically converts your video streams to an actionable data stream.

EatSmart is a Telegram bot that calculates calories and nutrients from your meal photos. It also provides customized recipes and nutrition advice, taking into account your lifestyle and dietary needs.

Transform your content creation with Synapso.AI, the ultimate AI-driven solution for impactful marketing content. Effortlessly generate compelling copy that engages your audience and boosts conversions for Free today!

LTX Studio is a holistic, AI-driven filmmaking platform for creators, marketers, filmmakers and studios. From ideation to production, LTX Studio enables you to control every aspect of your story, allowing elevated outcomes that actualize your vision.

ChatTTS is a voice generation model on GitHub at 2noise/chattts,Chat TTS is specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. This level of performance is achieved through training on approximately 100,000 hours of Chinese and English data. Additionally, the project team plans to open-source a basic model trained with 40,000 hours of data, which will aid the academic and developer communities in further research and development.