Best AI tools for< create custom code for embedded systems projects >

**Please Don't Code** is an AI-powered code generator for Arduino and ESP32 embedded systems. It helps developers save time and reduce errors by automatically generating code based on their requirements. The platform offers a user-friendly interface that guides users through a step-by-step process to create custom code for their projects. With Please Don't Code, developers can focus on the higher-level logic and functionality of their projects, leaving the tedious task of coding to the AI.

BotB9 is a no-code AI chatbot that can be embedded on your website or mobile app. It is trained with your business data to answer sales and support questions, or you can create custom trained chatbots for a variety of use cases. BotB9 offers a variety of features, including:

WP Dev AI is an AI-powered tool that allows users to build custom features for their WordPress websites without having to code. With WP Dev AI, users can simply describe the feature they want to create in plain English, and the tool will generate the necessary code. WP Dev AI also provides step-by-step instructions on how to implement the code, making it easy for even non-technical users to add custom features to their websites.

AIEasyUse is a user-friendly website that provides easy-to-use AI tools for businesses and individuals. With over 60+ content creation templates, our AI-powered content writer can help you quickly generate high-quality content for your blog, website, or marketing materials. Our AI-powered image generator can create custom images for your content. Simply input your desired image parameters and our AI technology will generate a unique image for you. Our AI-powered chatbot is available 24/7 to help you with any questions you may have about our platform or your content. Our chatbot can handle common inquiries and provide personalized support. Our AI-powered code generator can help you write code for your web or mobile app faster and more efficiently. Easily convert speech files to text for transcription or captioning purposes.

Trag is an AI-powered tool designed to review pull requests in minutes, empowering engineering teams to save time and focus on building products. With Trag, users can create custom patterns for code review, ensuring best practices are followed and bugs are caught early. The tool offers features like autofix with AI, monitoring progress, connecting multiple repositories, pull request review, analytics, and team workspaces. Trag stands out from traditional linters by providing complex code understanding, semantic code analysis, predictive bug detection, and refactoring suggestions. It aims to streamline code reviews and help teams ship faster with AI-powered reviews.

NexxtSupport is a no-code AI chatbot platform that allows businesses to create custom chatbots with their own data. The platform offers a variety of features, including lead generation, analytics, and support for over 50 languages. NexxtSupport's chatbots can be used to gather leads, increase sales, and provide customer support.

Zapier is a cloud-based automation platform that allows users to connect different apps and services to automate tasks and workflows. It offers a wide range of integrations with popular apps and services, including Salesforce, Gmail, Slack, and Dropbox. Zapier is designed to be easy to use, even for non-technical users, and it offers a variety of features to help users create and manage their automations. These features include a drag-and-drop interface, pre-built templates, and support for custom code. Zapier is used by businesses of all sizes to automate a wide range of tasks, including lead generation, customer support, and data management.

Build Chatbot is a no-code chatbot builder that allows users to create custom AI chatbots for their websites. With Build Chatbot, users can easily add a chatbot to their website to answer customer questions, provide support, and generate leads. Build Chatbot is easy to use and requires no coding knowledge. Users can simply upload their content, train their chatbot, and embed it on their website. Build Chatbot offers a variety of features, including: * **Customizable chatbots:** Users can customize their chatbots to match their brand and website. * **Multi-language support:** Build Chatbot supports multiple languages, making it easy to reach customers around the world. * **Live chat support:** Build Chatbot offers live chat support to help users with any questions or issues. * **Free trial:** Build Chatbot offers a free trial so users can try the service before they buy it.

Quickchat AI is a custom AI assistant designed to automate customer support, lead generation, and more. It allows users to design, tweak, and deploy their own AI assistant trained on their data. Quickchat AI offers a range of features including customizable AI assistant name, conversation style, knowledge and actions, and deployment options. It also provides integrations with popular tools and systems, making it easy to use AI in everyday workflows.

Glide is a no-code app builder that allows users to create custom business software without writing any code. It is powered by AI and offers a variety of features such as data sync, workflow automation, and integrations with other tools. Glide is used by over 100,000 companies to build apps for a variety of use cases, including field operations, event management, customer portals, and inventory management.

Unicorn Platform is an AI-powered website builder that helps users create websites quickly and easily, without the need for design or development skills. It offers a variety of features, including pre-built templates, drag-and-drop functionality, and the ability to add custom code. Unicorn Platform is suitable for a variety of website types, including SaaS, apps, directories, blogs, and personal pages.

AIPRM is a prompt management tool and community-driven prompt library that helps users complete marketing, sales, operation, productivity, and customer support tasks in minutes. It provides a vast repository of over 4000 expertly crafted prompts, each heavily used, reviewed and approved by the dedicated AI community. Users can also create their own prompts and organize them for continuous use, making it easy to access and reuse prompts for themselves and their teams. AIPRM integrates with various GPTs, including ChatGPT, Bard, Midjourney, and DALL-E 3, allowing users to take their Custom GPT usage to a new level.

Booth AI is a platform that allows users to create custom AI solutions in minutes, not months. It is enterprise-ready, scale-ready, and disruption-ready. Booth AI offers a variety of features, including integration with over 100 apps, workplace tools, project management tools, marketing automation tools, and more. Booth AI can be used to solve a variety of business problems, including automating tasks, improving customer service, and increasing sales.

Dora is an AI-powered platform that enables users to create 3D animated websites without the need for coding. It caters to designers, freelancers, and creative professionals who seek to design visually captivating websites effortlessly. With Dora, users can craft mesmerizing 3D and animated visuals that are responsive and seamlessly translate across devices. The platform is designed for professionals who prioritize design aesthetics and offers a no-code experience for those transitioning from other design tools. Dora leverages advanced AI algorithms to generate, customize, and deploy stunning landing pages, revolutionizing the web design process.

ChatBuild AI is a website that allows users to create custom trained AI chatbots for their website in minutes. No coding experience is needed. Users can upload files to train their chatbot, and ChatBuild AI will generate a custom chatbot that is trained on the user's own data. ChatBuild AI also offers global support, so users can use their chatbot in any language.

KaraboAI is a platform that allows users to create custom AI chatbots for their website. The platform offers a variety of chatbot templates to choose from, and users can also create their own chatbots from scratch. KaraboAI chatbots can be used for a variety of purposes, including customer service, lead generation, and data collection. The platform also offers a range of integrations with other software and services, making it easy to connect your chatbot to your existing workflow.

Illusion AI is a generative AI tool that allows users to create text and images. It is powered by OpenAI's ChatGPT and Stable Diffusion. Illusion AI is designed to be easy to use and can be used by anyone, regardless of their technical expertise. With Illusion AI, users can generate unique and engaging content for a variety of purposes, such as marketing, advertising, social media, and personal projects.

MonkeyLearn is a text analytics tool that simplifies the process of cleaning, labeling, and visualizing customer feedback in one place. It is powered by cutting-edge Artificial Intelligence and is designed to cater to the needs of data-driven companies. With features like instant data visualizations, detailed insights, pre-built and custom machine learning models, and business templates, MonkeyLearn offers a comprehensive text analysis and data visualization studio for users to gain valuable insights from their data effortlessly.

Buzzy is an AI-powered platform that enables users to create custom apps and websites in minutes. It combines ChatGPT and AI to generate code from plain English descriptions, making app development accessible to non-technical users. Buzzy offers a range of features, including the ability to convert Figma designs into functional apps, create custom designs, and integrate with various APIs. It is suitable for a wide range of users, from entrepreneurs and startups to designers and developers.

EyePop.ai is a self-service perception AI platform that streamlines visual data analysis for easy, accessible AI-powered insights. It empowers users to build tailored AI applications without the need for technical knowledge. With its intuitive no/low code platform, users can create custom computer vision solutions, known as "Pops," that work with existing images, videos, or even real-time streams. EyePop.ai's advanced computer vision technology provides deep insights into visual content, helping users understand which visuals drive user engagement, make data-driven decisions, and identify the media that resonates with their audience.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

This repository contains a demo application for DepthAI, a tool that can load different networks, create pipelines, record video, and more. It provides documentation for installation and usage, including running programs through Docker. Users can explore DepthAI features via command line arguments or a clickable QT interface. Supported models include various AI models for tasks like face detection, human pose estimation, and object detection. The tool collects anonymous usage statistics by default, which can be disabled. Users can report issues to the development team for support and troubleshooting.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

AIS-catcher: A multi-platform AIS Receiver

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

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Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

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