Best AI tools for< Design Concepts >

Ideatum.ai is an AI-powered tool that allows users to generate custom color schemes and font pairings instantly. It helps transform design ideas from words into mood boards, making it easy to create captivating design concepts. Users can share their created mood boards across social networks or export the style guide to Webflow or Figma seamlessly. Ideatum.ai prioritizes user privacy and offers clear terms of service for a seamless experience.

Renovate AI is an advanced AI-powered home design application that revolutionizes interior and exterior designing. It offers real-time visualizations, intelligent object recognition, customizable styles, object removal, infinite design variations, and professional remodeling tools. Renovate AI is a versatile tool suitable for designers, homeowners, and real estate agents, providing unparalleled detail and accuracy in design planning.

Car Concepts AI is an innovative AI-driven application that allows users to create stunning car wrap designs effortlessly. With over 10,000 car concepts created and 9,100 happy customers, Car Concepts AI is the go-to platform for transforming your vehicle's appearance. The application offers both Basic and Advanced modes for generating single image designs, catering to both simple and complex projects. Users can upload images, provide additional details, and let the AI algorithm generate unique and creative car wrap designs based on their preferences. With a user-friendly interface and a wide range of customization options, Car Concepts AI is the ultimate tool for elevating your car's style.

REimagineHome is an innovative AI-based platform designed for virtual staging, emptying furnished spaces, landscaping, redesigning furnished rooms, and rendering exterior structures. It caters to professionals in real estate, marketing, photography, development, and interior design. The platform offers swift, intuitive, and customizable makeovers at a low cost, providing quick, photo-realistic design ideas without a learning curve.

Interior Render AI is an AI-powered interior design tool that allows users to generate high-quality interior design renderings in various styles based on reference images. Users can upload indoor photos or design sketches and provide a natural language description of their desired style. The AI will then generate realistic and visually appealing renderings that can be used for inspiration, communication, and idea pitching. Interior Render AI is a valuable tool for interior designers, architects, and anyone looking to redesign their space.

Designera is an AI-powered design tool that allows users to create design ideas specialized to their interior spaces in seconds. Users can upload images of their rooms, select room types and themes, and receive design suggestions tailored to their preferences. The tool provides a platform for users to explore creative design concepts and get inspired by a community of designers. Designera aims to simplify the design process and empower users to visualize and transform their living spaces with ease.

REimagine Home is an AI-powered interior design platform that provides users with tools for virtual staging, remodeling, landscaping, and interior design. It is designed to be easy to use, with no learning curve, and is tailored for realtors, marketers, photographers, developers, and interior designers. With REimagine Home, users can quickly and easily create photo-realistic design ideas and visualizations, helping them to save time and money while delivering high-quality designs for diverse use cases.

InkGen is an AI Tattoo Generator that allows users to create the perfect tattoo design with the help of a personal tattoo artist AI. Users can input their tattoo ideas, select styles and colors, and receive unique design concepts within seconds. The platform has generated over 423,490 tattoos for satisfied customers, offering a wide range of design options. Users can interact with the AI to bring their tattoo dreams to life, ensuring each design is unique and tailored to their preferences.

Paintit.ai is an AI-driven interior design service that revolutionizes space design by leveraging the latest in AI technology. It offers personalized and innovative design solutions for residential and commercial spaces, capturing unique visions and style preferences. Users can upload photos of their space, select design preferences, and receive AI-generated design concepts that can be refined to align with individual tastes and visions.

CoverDesignAI is an AI-powered tool that provides authors and publishers with quick and easy design solutions for their book covers. It offers design inspiration tailored to specific book information, as well as Midjourney Prompts for creative exploration. The tool generates classic and elite designs that blend artistic creativity with adherence to authors' requests, ensuring a high-quality finish. CoverDesignAI simplifies AI operations, making professional-grade design accessible to users of all levels. The tool's turnaround time for projects is typically within 24 hours, and users can use the generated images for commercial purposes.

DreamzAR is an innovative AI landscape and interior design application that redefines yard elegance and interior spaces. The app offers a wealth of garden design ideas tailored to users' yards, allowing them to effortlessly transform their outdoor and indoor spaces with the help of advanced technology. DreamzAR provides unique front and backyard landscaping ideas, virtual property staging, and a gallery of inspiring landscape and interior designs. Users can easily visualize their design concepts by uploading photos of their yards and leveraging AI-powered tools to create stunning and personalized designs. With features like 2D and 3D design tools, augmented reality capabilities, and a vast collection of plants and garden elements, DreamzAR makes landscape and interior design accessible, efficient, and cost-effective.

Uizard is an AI-powered UI design tool that simplifies the process of creating user interfaces, wireframes, mockups, and prototypes. It offers a range of features that enable users to generate designs from text prompts or screenshots, create themes, and transform hand-drawn sketches into digital designs. Uizard empowers product teams to visualize, communicate, and iterate on design concepts quickly and efficiently, making it an essential tool for designers, product managers, marketers, and developers.

TattoosAI is an AI-powered tattoo generator that helps users create unique and personalized tattoo designs. With TattoosAI, users can simply enter their tattoo idea into a prompt field, and the AI will generate multiple design concepts based on their input. Users can then select the style and color of their tattoo, and the AI will generate a final design that is ready to be inked. TattoosAI is a great tool for anyone who is looking for a unique and personalized tattoo design.

Archistar is a leading property research platform in Australia that empowers users to make confident and compliant property decisions with the help of data and AI. It offers a range of features, including the ability to find and assess properties, generate 3D design concepts, and minimize risk and maximize return on investment. Archistar is trusted by over 100,000 individuals and 1,000 leading property firms.

Pirate Diffusion is a unique software and community created for individuals seeking the full potential of Stable Diffusion on the go. It offers a range of features, including preloaded models, web app and bots, and a vast collection of prompt ideas. With Pirate Diffusion, users can create unlimited images, utilize LLM bots, upload and edit their own photos, and engage in various image manipulation techniques such as sketch-to-photo, img2img, inpainting, outpainting, and face swapping. Additionally, it provides access to advanced features like ControlNet, IP Adapter, blend, unlimited background remover, 200 steps, HiResFix, samplers, and 4X upscalers. Pirate Diffusion is integrated with Graydient, a cloud computing platform for creating AI spaces, allowing users to access their images across multiple apps and devices.

Archistar is a leading property research platform that utilizes data and AI to help investors, developers, architects, and government officials make confident and compliant decisions. The platform offers features such as finding the best use of a site, researching real estate rules and risks, generating 3D design concepts with AI, and fast-tracking building permit assessments. With over 100,000 users, Archistar provides access to advanced algorithms, filters, and market insights to discover real estate opportunities efficiently.

Brick Generator is a proof of concept tool that allows users to generate 3D brick models from text descriptions. It is powered by artificial intelligence and machine learning algorithms, which enable it to understand the user's intent and create realistic and detailed models. The tool is still in its early stages of development, but it has the potential to revolutionize the way that architects, engineers, and designers create and visualize their projects.

DecorAI.xyz is an AI-driven interior design tool that allows users to generate dream rooms using artificial intelligence. By simply taking a picture of a room, users can see how it looks in different themes and receive personalized design suggestions. With exceptional training on a massive dataset of 160 million design samples, DecorAI optimizes spatial layouts, provides cost-effective design solutions, and saves time compared to traditional interior design methods. The tool caters to homeowners, renters, and small businesses looking to redesign their spaces without the need for an expensive interior designer.

Industrial Render AI is an innovative tool that utilizes artificial intelligence to generate high-quality design renders for industrial products. It transforms hand-drawn sketches into inspiring renderings, allowing designers to showcase their work effectively. The tool also provides quick sketch generation based on brief descriptions, revolutionizing the industrial design process. With a focus on product rendering, Industrial Render AI is shaping the future of marketing and sales in the industrial design sector.

Trustpilot productai.one is an AI tool designed to provide product reviews and ratings. It utilizes artificial intelligence algorithms to analyze and aggregate customer feedback, helping users make informed purchasing decisions. The platform offers a user-friendly interface where consumers can explore and compare various products based on real customer experiences. With Trustpilot productai.one, users can access valuable insights and recommendations to guide their shopping choices.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

GrAIdient is a framework designed to enable the development of deep learning models using the internal GPU of a Mac. It provides access to the graph of layers, allowing for unique model design with greater understanding, control, and reproducibility. The goal is to challenge the understanding of deep learning models, transitioning from black box to white box models. Key features include direct access to layers, native Mac GPU support, Swift language implementation, gradient checking, PyTorch interoperability, and more. The documentation covers main concepts, architecture, and examples. GrAIdient is MIT licensed.

ChocoBuilder (aka Chocolate Factory) is an open-source LLM application development framework designed to help you easily create powerful software development SDLC + LLM generation assistants. It provides modules for integration into JVM projects, usage with RAGScript, and local deployment examples. ChocoBuilder follows a Domain Driven Problem-Solving design philosophy with key concepts like ProblemClarifier, ProblemAnalyzer, SolutionDesigner, SolutionReviewer, and SolutionExecutor. It offers use cases for desktop/IDE, server, and Android applications, with examples for frontend design, semantic code search, testcase generation, and code interpretation.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.

Wren Engine is a semantic engine designed to serve as the backbone of the semantic layer for LLMs. It simplifies the user experience by translating complex data structures into a business-friendly format, enabling end-users to interact with data using familiar terminology. The engine powers the semantic layer with advanced capabilities to define and manage modeling definitions, metadata, schema, data relationships, and logic behind calculations and aggregations through an analytics-as-code design approach. By leveraging Wren Engine, organizations can ensure a developer-friendly semantic layer that reflects nuanced data relationships and dynamics, facilitating more informed decision-making and strategic insights.

Chocolate Factory is an open-source LLM application development framework designed to help you easily create powerful software development SDLC + LLM assistants. It provides a set of modules for integration into JVM projects and offers RAGScript for querying and local deployment examples. The tool follows a domain-driven problem-solving approach with key concepts like ProblemClarifier, ProblemAnalyzer, SolutionDesigner, SolutionReviewer, and SolutionExecutor. It supports use cases in desktop/IDE, server, and Android development, with a focus on AI-powered coding assistance and semantic search capabilities.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

KaibanJS is a JavaScript-native framework for building multi-agent AI systems. It enables users to create specialized AI agents with distinct roles and goals, manage tasks, and coordinate teams efficiently. The framework supports role-based agent design, tool integration, multiple LLMs support, robust state management, observability and monitoring features, and a real-time agentic Kanban board for visualizing AI workflows. KaibanJS aims to empower JavaScript developers with a user-friendly AI framework tailored for the JavaScript ecosystem, bridging the gap in the AI race for non-Python developers.

This repository contains materials for the Microsoft Learn AI Fundamentals module. It covers the basics of artificial intelligence, machine learning, and data science. The content includes hands-on labs, interactive learning modules, and assessments to help learners understand key concepts and techniques in AI. Whether you are new to AI or looking to expand your knowledge, this module provides a comprehensive introduction to the fundamentals of AI.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Motleycrew is an ultimate framework for building multi-agent AI systems, allowing users to mix and match AI agents and tools from popular frameworks, design advanced workflows, and leverage dynamic knowledge graphs with simplicity and elegance. It acts as a conductor orchestrating a symphony of AI agents and tools, providing building blocks for creating AI systems and enabling users to focus on high-level design while taking care of the rest. The framework offers integration with various tools, flexibility in providing agents with tools or other agents, advanced flow design capabilities, and built-in observability and caching features.

The 'crazyai-ml' repository is a collection of resources related to machine learning, specifically focusing on explaining artificial intelligence models. It includes articles, code snippets, and tutorials covering various machine learning algorithms, data analysis, model training, and deployment. The content aims to provide a comprehensive guide for beginners in the field of AI, offering practical implementations and insights into popular machine learning packages and model tuning techniques. The repository also addresses the integration of AI models and frontend-backend concepts, making it a valuable resource for individuals interested in AI applications.

CS7320-AI is a repository containing lecture materials, simple Python code examples, and assignments for the course CS 5/7320 Artificial Intelligence. The code examples cover various chapters of the textbook 'Artificial Intelligence: A Modern Approach' by Russell and Norvig. The repository focuses on basic AI concepts rather than advanced implementation techniques. It includes HOWTO guides for installing Python, working on assignments, and using AI with Python.

Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, Tensorflow, XGBoost, MPI, Paddle and others. Training Operator allows you to use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs or using Training Operator Python SDK. > Note: Before v1.2 release, Kubeflow Training Operator only supports TFJob on Kubernetes. * For a complete reference of the custom resource definitions, please refer to the API Definition. * TensorFlow API Definition * PyTorch API Definition * Apache MXNet API Definition * XGBoost API Definition * MPI API Definition * PaddlePaddle API Definition * For details of all-in-one operator design, please refer to the All-in-one Kubeflow Training Operator * For details on its observability, please refer to the monitoring design doc.

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

I help design concepts for podcast cover art.

Eccentric Design Concepts

A creative assistant for generating logo design concepts and ideas

Dynamic and professional Pet Fashion Expert, offering vibrant design concepts.

Formal design concept recorder, responds with '已记录', and provides brief summaries.

I design and optimize GPT concepts.

Expert in creating detailed character design sheets

Turn animated characters into real people with this prompt. It is an original and entertaining way to enjoy art and animation.

Upload an avatar and indicate the costume concept to design the movie character costume concept and set different angles for reference.

HydroGPT is an expert in water resources engineering, specializing in hydrology, hydraulics, and drainage design. It provides detailed assistance in modeling concepts, methodologies, scopes of work, and drainage report writing, including aerial image analysis.

A creative assistant for generating visual concepts for new products.

Formal and professional car designer, specializing in both futuristic and classic car concepts.

Enthusiastic visual idea generator for design

Helps generate ideas for tech-integrated, aesthetically pleasing products.

An mechanical engineering tutor, aiding with concepts and problem-solving.

A specialized tool in UX research, adept at finding, analyzing and communicating UX related research papers and concepts concisely for students and professionals.

Turns your concepts and ideas into Oni Masks!

Designs retro-modern concepts

Generates unique toy car concepts in various styles and settings.