Best AI tools for< design an app >

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.

CreateApp AI is an AI-powered app development agency that helps non-technical entrepreneurs bring their visionary product ideas to life. With CreateApp AI, you can develop your app in days, not months. The company's services include app design, app development, and app maintenance. CreateApp AI has been trusted by leading companies and startup incubators.

Appsmakerstore is a leader in innovative, AI-driven mobile app development services targeted at the general public. With its 100% No-Code SaaS service, Appsmakerstore assists businesses and organizations, supporting entrepreneurship and economic growth, promoting industrial innovation, and contributing to reducing inequality in line with the UN's Sustainable Development Goals. This is achieved by offering modern technology to a wide range of users worldwide, regardless of their technical background.

Glowbom is a platform that allows users to create apps and games without coding. Users can sketch their ideas and export code to multiple platforms. Glowbom supports most popular platforms, including iOS, Android, Web, Unity, and Native iOS. Glowbom also offers AI-powered features, such as GPT-4 Turbo, OpenAI, and Hugging Face.

Runway is an AI tool that advances creativity by building multimodal AI systems to usher in a new era of human creativity. It offers a suite of creative tools designed to turn ideas into reality using AI models that understand and generate worlds. Runway empowers filmmakers to achieve their creative vision with AI, and it also hosts platforms and initiatives to celebrate and empower the next generation of storytellers.

Runway is an applied AI research company shaping the next era of art, entertainment, and human creativity. With a suite of creative tools designed to turn ideas into reality, Runway empowers users to explore the possibilities of AI-generated worlds. Founded in 2018, Runway has been pushing creativity forward with cutting-edge research in artificial intelligence and machine learning, collaborating with leading institutes worldwide.

MAGE is a GPT web app generator that allows users to create custom web applications using natural language prompts. With MAGE, users can quickly and easily build web applications without having to write any code. MAGE is powered by OpenAI's GPT-3 technology, which allows it to understand and generate human-like text. This makes it easy for users to create web applications that are both powerful and user-friendly.

CreateApp.ai is an AI-powered app development platform that allows users to develop apps in days, not months. It is trusted by leading companies and startup incubators. CreateApp.ai's first step towards its vision is CreatePrototype.ai, which allows users to describe their idea in plain English and build an app prototype in minutes. CreateApp.ai is coming soon, and users can sign up for early access. With CreateApp.ai, users can develop apps in plain English, without any tech knowledge required. CreateApp.ai takes care of everything, from app design and development to app maintenance. CreateApp.ai is the easiest way to build apps.

Feng My Shui is an application that allows users to generate images using a combination of Midjourney and Stable Diffusion XL AI models. It offers a user-friendly interface and allows users to generate images without the need for a Midjourney account or Discord app. The application also includes a credit system that allows users to generate a certain number of images per month. Additional credits can be purchased if needed. Feng My Shui is available on the web, iOS, and Android devices.

VectorArt.ai is a web-based application that uses artificial intelligence to generate vector images. With VectorArt.ai, users can create custom SVG images, logos, icons, and illustrations for their website, business, or app. The application is easy to use and requires no design experience. Users simply need to type in a description of the image they want to create, and VectorArt.ai will generate the image for them. VectorArt.ai offers a variety of features, including the ability to create custom SVG images, write text-to-image prompts, draw sketch-to-image prompts, explore illustration styles, and use royalty-free images. The application also offers a free image gallery with over 1 million images that users can download and use for free.

BeeDone is an AI-powered productivity app that helps users turn their to-dos into a game. With its intuitive design, intelligent automation, and collaborative brilliance, it redefines how we approach productivity. Whether conquering todos, habits, or routines, BeeDone adapts effortlessly. It's not just an app; it's a lifestyle upgrade, streamlining your journey to success.

Marblism is a platform that allows developers to quickly and easily launch React and Node.js applications. With Marblism, developers can generate the database schema, all the endpoints in the API, the design system, and even a few pages in the front-end. This can save developers a significant amount of time and effort, allowing them to focus on adding their unique touch to their applications.

Goodspeed is a no-code agency that helps entrepreneurs bring their ideas to life 10X faster and cheaper. They use no-code tools to go from idea to launch in good speed and great quality. Goodspeed has a team of expert Bubble developers, Figma designers, Framer designers, Flutter developers, automation and AI experts.

Cognition is an applied AI lab focused on reasoning. Their first product, Devin, is the first AI software engineer. Cognition is a small team based in New York and the San Francisco Bay Area.

Pet Portrait AI is an application that uses artificial intelligence to generate unique, custom-made portraits of your pets. The app offers a variety of styles to choose from, including Hollywood glamour, Renaissance art, and watercolor painting. Pet Portrait AI is easy to use and affordable, making it a great option for anyone who wants to create a special keepsake of their furry friend.

The AI UX writer for designers and developers is an application that leverages ChatGPT to generate meaningful UX content for design and code. It helps users in creating engaging and user-friendly interfaces by providing AI-powered content suggestions. The tool aims to streamline the design and development process by offering valuable insights and recommendations for improving user experience.

WebWave is an AI-powered website builder that allows users to create a website in 3 minutes. With WebWave, you can create a website no matter your skill level and experience in web design. The "drag and drop" technology means that you drag elements from the components bank and drop them into the canvas to build a website out of them. It's an approach that allows you to create your website intuitively, even if you have no experience making websites. As you design your website, you already see how it will look. The website builder does the coding automatically.

Design Sparks is an AI-powered application that aims to spark infinite ideas and unleash limitless creativity in the design process. By leveraging artificial intelligence, users can explore new perspectives and possibilities for their designs. The platform allows users to input their design problems or themes, upload PDFs or enter URLs, and generate sparks of inspiration. Design Sparks provides a user-friendly interface for generating and saving design ideas, making it a valuable tool for designers seeking innovative solutions.

Tattoo Design Pro is an AI-powered application that allows users to transform their imagination into stunning tattoo designs in various styles. Whether starting with a simple prompt or uploading an existing sketch, the app uses AI magic to create unique and detailed designs. Customers can experiment with different designs, receive AI-generated suggestions, and easily choose the perfect tattoo design. The app provides a user-friendly interface and a wide range of features to help tattoo enthusiasts and artists in the design process.

Acrylic is an AI application that allows users to create personalized paintings for home decor using artificial intelligence technology. Users can unleash their creativity and design unique artwork that reflects their individual style. The application offers augmented reality staging to preview paintings in the home environment and provides the option to order high-quality canvas prints of the creations. With an easy-to-use interface and the ability to purchase directly from the app using Apple Pay, Acrylic aims to revolutionize home decor with affordable and customized art.

A curated list of Generative AI projects, tools, artworks, and models

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

AI Study Assistant is an app designed to enhance learning experience and boost academic performance. It serves as a personal tutor, lecture summarizer, writer, and question generator powered by Google PaLM 2. Features include interacting with an AI chatbot, summarizing lectures, generating essays, and creating practice questions. The app is built using 100% Kotlin, Jetpack Compose, Clean Architecture, and MVVM design pattern, with technologies like Ktor, Room DB, Hilt, and Kotlin coroutines. AI Study Assistant aims to provide comprehensive AI-powered assistance for students in various academic tasks.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

ASTRA is an open-source platform designed for developing applications utilizing large language models. It merges the ideas of Backend-as-a-Service and LLM operations, allowing developers to swiftly create production-ready generative AI applications. Additionally, it empowers non-technical users to engage in defining and managing data operations for AI applications. With ASTRA, you can easily create real-time, multi-modal AI applications with low latency, even without any coding knowledge.

YoMo is an open-source LLM Function Calling Framework for building Geo-distributed AI applications. It is built atop QUIC Transport Protocol and Stateful Serverless architecture, making AI applications low-latency, reliable, secure, and easy. The framework focuses on providing low-latency, secure, stateful serverless functions that can be distributed geographically to bring AI inference closer to end users. It offers features such as low-latency communication, security with TLS v1.3, stateful serverless functions for faster GPU processing, geo-distributed architecture, and a faster-than-real-time codec called Y3. YoMo enables developers to create and deploy stateful serverless functions for AI inference in a distributed manner, ensuring quick responses to user queries from various locations worldwide.

Awesome ChatGPT is an artificial intelligence chatbot developed by OpenAI. It offers a wide range of applications, web apps, browser extensions, CLI tools, bots, integrations, and packages for various platforms. Users can interact with ChatGPT through different interfaces and use it for tasks like generating text, creating presentations, summarizing content, and more. The ecosystem around ChatGPT includes tools for developers, writers, researchers, and individuals looking to leverage AI technology for different purposes.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

Talk With Gemini is a web application that allows users to deploy their private Gemini application for free with one click. It supports Gemini Pro and Gemini Pro Vision models. The application features talk mode for direct communication with Gemini, visual recognition for understanding picture content, full Markdown support, automatic compression of chat records, privacy and security with local data storage, well-designed UI with responsive design, fast loading speed, and multi-language support. The tool is designed to be user-friendly and versatile for various deployment options and language preferences.

LangChain is a framework for developing Elixir applications powered by language models. It enables applications to connect language models to other data sources and interact with the environment. The library provides components for working with language models and off-the-shelf chains for specific tasks. It aims to assist in building applications that combine large language models with other sources of computation or knowledge. LangChain is written in Elixir and is not aimed for parity with the JavaScript and Python versions due to differences in programming paradigms and design choices. The library is designed to make it easy to integrate language models into applications and expose features, data, and functionality to the models.

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.

The Python Redis Vector Library (RedisVL) is a tailor-made client for AI applications leveraging Redis. It enhances applications with Redis' speed, flexibility, and reliability, incorporating capabilities like vector-based semantic search, full-text search, and geo-spatial search. The library bridges the gap between the emerging AI-native developer ecosystem and the capabilities of Redis by providing a lightweight, elegant, and intuitive interface. It abstracts the features of Redis into a grammar that is more aligned to the needs of today's AI/ML Engineers or Data Scientists.

cuVS is a library that contains state-of-the-art implementations of several algorithms for running approximate nearest neighbors and clustering on the GPU. It can be used directly or through the various databases and other libraries that have integrated it. The primary goal of cuVS is to simplify the use of GPUs for vector similarity search and clustering.

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

Redis Vector Library (RedisVL) is a Python client library for building AI applications on top of Redis. It provides a high-level interface for managing vector indexes, performing vector search, and integrating with popular embedding models and providers. RedisVL is designed to make it easy for developers to build and deploy AI applications that leverage the speed, flexibility, and reliability of Redis.

Builds an app instantly from a prompt. Try it out.

An app that, when spoken to, creates other apps—a helpful presence.

Expert in synthetic neurobiology, brain organoids, and AI applications in neuroscience. Powered by Breebs (www.breebs.com)

Exploring invisibility in science and fiction with a scientific, imaginative tone.

Specialized in converting APIs into OpenAPI Schemas with an educational approach.

Your Glitch Assistant - An expert in applying glitch effects to images.

An assistant for iOS devs to create beautiful mobile app animations, gestures, and transitions

I'm an expert graphic designer specializing in unique logo creation, guided by Gestalt principles.

An expert on plastics

Solves Numericals in Physics, provides ideas to design an Internal Assessment (Physics Projects) and Extended Essays for IBDP Curriculum

Research assistant for Atomic, Molecular, and Optics Physics

Quantum Hypothesis，About A New Universal Physical Theory

Responsive guide on ethics and human rights.

Expert in game design for an office escape adventure.

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

An objective UI Design Review Bot offering balanced critiques.

An advocate for accessible design, offering guidance for inclusivity in design.

I create artistic tattoo designs, communicating in an engaging, John Mayer-like style.

eVTOL expert providing detailed info on technology, design, and industry trends (日本語もしゃべれます)

Ask questions about your yard and garden areas for general advice that includes native plants and bird-friendly landscapes. For an expert consultation with a real human, visit Melissa Hall Garden Designs: https://www.melissahallgardendesigns.com/