Best AI tools for< Develop An App >

Fenado AI is an AI-powered platform that allows users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

Fenado AI is an AI-powered platform that enables users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine the designs, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

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.

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.

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.

whoCodes() is an App & Web Development Company that helps individuals and businesses turn their website and app ideas into reality. They offer a range of services from simple landing pages to complex web and mobile apps. The company focuses on speed, security, flexibility, and scalability to provide clients with the right software solutions for their needs. Built for creatives, by creatives, whoCodes() aims to deliver full project services with total design freedom to bring clients' ideas to life.

Altera is an applied research company focused on building digital humans - machines with fundamental human qualities. Led by Dr. Robert Yang, the team comprises computational neuroscientists, CS and Physics experts from prestigious institutions. Their mission is to create digital human beings that can live, care, and grow with us. The company's early research prototypes began in games, offering a glimpse into the potential of these digital humans.

Woebot Health is an AI-driven enterprise solution for mental health that aims to increase access to mental health support and improve business outcomes. It offers in-the-moment mental health support through an app, providing interactive conversations, tools for emotional regulation, mood monitoring, and management. Woebot is not generative AI but rules-based, incorporating elements from Cognitive Behavioral Therapy, Interpersonal Psychotherapy, and Dialectical Behavioral Therapy. The platform also includes data analytics to aggregate insights for clinicians and increase visibility beyond traditional care settings.

DataWise is an AI application that empowers businesses with artificial intelligence solutions. Founded in 2024, DataWise offers smart, scalable, and intuitive AI-driven features to drive growth and efficiency. With a team of expert data scientists and engineers, DataWise provides custom AI solutions tailored to unique business challenges. The platform includes advanced data analytics, operations automation, NLP for language processing, and custom AI model development.

Cresh is a platform that helps users validate their business ideas using AI analysis and community interaction. It provides a comprehensive evaluation of an idea, including AI analysis, community feedback, and access to a community of entrepreneurs and experts. Cresh makes it easy to share ideas, get feedback, and refine your ideas until they are ready to be launched.

FARSPEAK.AI is an AI application that offers RESTful AI for databases, allowing users to query databases using natural language and deploy AI agents to enhance data processing. The application supports MongoDB Atlas, provides up-to-date embeddings, and offers both structured and unstructured data support. FARSPEAK simplifies work for AI engineers, app & web developers, and product designers by enabling faster AI feature development, natural language querying, and insights generation from data.

The UneeQ Digital Humans Platform is an AI application that offers intelligent animation and real-time lifelike animation engine. It provides solutions for marketing, sales, customer service, and training across various industries. The platform allows for personalized and enjoyable customer interactions through digital human avatars, enhancing customer journeys and boosting conversions. With features like dialog-based marketing, personalized AI experiences, and multilingual support, UneeQ aims to simplify complex subject matters, empower users, and provide memorable interactions. The platform is developer-friendly with open APIs and pre-built SDKs, making it easy to integrate and work with. UneeQ's digital humans have been proven to significantly increase engagement, web traffic, conversion rates, and customer satisfaction.

Sarvam AI is an AI application focused on leading transformative research in AI to develop, deploy, and distribute Generative AI applications in India. The platform aims to build efficient large language models for India's diverse linguistic culture and enable new GenAI applications through bespoke enterprise models. Sarvam AI is also developing an enterprise-grade platform for developing and evaluating GenAI apps, while contributing to open-source models and datasets to accelerate AI innovation.

Onegen is an AI application that provides end-to-end AI transformation services for startups and enterprises. The platform helps businesses consult, build, and iterate reliable and responsible AI solutions to overcome AI transformation challenges. Onegen emphasizes the importance of data readiness and leveraging artificial intelligence to drive success in various sectors such as retail, manufacturing, and technology startups. The platform offers AI insights for lead time management, legal operations enhancement, and rapid development of AI applications. With features like custom AI application development, AI integration services, LLM training and deployment, generative AI solutions, and predictive analytics, Onegen aims to empower businesses with scalable and expert-guided AI solutions.

The Coalition for Health AI (CHAI) is an AI application that provides guidelines for the responsible use of AI in health. It focuses on developing best practices and frameworks for safe and equitable AI in healthcare. CHAI aims to address algorithmic bias and collaborates with diverse stakeholders to drive the development, evaluation, and appropriate use of AI in healthcare.

Egen is an AI application that focuses on engineering new possibilities with platforms, data, and generative AI. The company empowers organizations and individuals by harnessing the power of data and platforms to drive impact and create a better future. Egen collaborates with clients across various industries to provide innovative solutions using cloud, data, AI, and platforms.

Equations Work is an AI application that provides sophisticated intelligent IT services to enhance business acumen. The platform offers a wide range of AI solutions, custom software development, process optimization, consulting, and more. Equations Work aims to bridge the gap between dreams and possibilities by unlocking the power of Artificial Intelligence for businesses, helping clients infuse AI into their products and solutions to create effective solutions and add to the success of their story.

Hearview is an AI application designed to eliminate communication barriers between the Deaf community and the world through innovative technology. The application offers comprehensive solutions and expanded choices for the deaf community, with its AI subtitle glasses being the first milestone in this transformative journey.

ChatMoneyAI is an AI application designed for AI monetization. It offers various AI solutions for businesses across different industries, including AI chat systems, AI drawing systems, AI interface integration, and training large language models. The application aims to empower enterprises with digital and intelligent transformation through its advanced technology, private deployment options, personalized customization, and stable performance. ChatMoneyAI has been widely adopted in multiple industries, serving as a reliable partner for businesses seeking efficiency enhancement and cost reduction.

Aizecs is an AI application that helps users build their AI startup MVP in just 12 days. The platform offers a range of technologies and projects to assist in turning ideas into impactful solutions with precision and innovation. Users can access curated prompts, AI-driven therapy, and various tech tools to accelerate their development process. Aizecs is trusted by successful founders for its speed, accuracy, and context understanding in data analysis and natural language processing.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

DevOpsGPT is an AI-driven software development automation solution that combines Large Language Models (LLM) with DevOps tools to convert natural language requirements into working software. It improves development efficiency by eliminating the need for tedious requirement documentation, shortens development cycles, reduces communication costs, and ensures high-quality deliverables. The Enterprise Edition offers features like existing project analysis, professional model selection, and support for more DevOps platforms. The tool automates requirement development, generates interface documentation, provides pseudocode based on existing projects, facilitates code refinement, enables continuous integration, and supports software version release. Users can run DevOpsGPT with source code or Docker, and the tool comes with limitations in precise documentation generation and understanding existing project code. The product roadmap includes accurate requirement decomposition, rapid import of development requirements, and integration of more software engineering and professional tools for efficient software development tasks under AI planning and execution.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Amica is an application that allows you to easily converse with 3D characters in your browser. You can import VRM files, adjust the voice to fit the character, and generate response text that includes emotional expressions.

Agently Daily News Collector is an open-source project showcasing a workflow powered by the Agent ly AI application development framework. It allows users to generate news collections on various topics by inputting the field topic. The AI agents automatically perform the necessary tasks to generate a high-quality news collection saved in a markdown file. Users can edit settings in the YAML file, install Python and required packages, input their topic idea, and wait for the news collection to be generated. The process involves tasks like outlining, searching, summarizing, and preparing column data. The project dependencies include Agently AI Development Framework, duckduckgo-search, BeautifulSoup4, and PyYAM.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Burr is a Python library and UI that makes it easy to develop applications that make decisions based on state (chatbots, agents, simulations, etc...). Burr includes a UI that can track/monitor those decisions in real time.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

The Deep Java Library (DJL) is a framework-agnostic Java API for deep learning. It provides a unified interface to popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet. DJL makes it easy to develop deep learning applications in Java, and it can be used for a variety of tasks, including image classification, object detection, natural language processing, and speech recognition.

Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly, but also allows for easy code organization.

Follow is a content organization tool that creates a noise-free timeline for users, allowing them to share lists, explore collections, and browse distraction-free. It offers features like subscribing to feeds, AI-powered browsing, dynamic content support, an ownership economy with $POWER tipping, and a community-driven experience. Follow is under active development and welcomes feedback from users and developers. It can be accessed via web app or desktop client and offers installation methods for different operating systems. The tool aims to provide a customized information hub, AI-powered browsing experience, and support for various types of content, while fostering a community-driven and open-source environment.

LangChain Extract is a simple web server that allows you to extract information from text and files using LLMs. It is built using FastAPI, LangChain, and Postgresql. The backend closely follows the extraction use-case documentation and provides a reference implementation of an app that helps to do extraction over data using LLMs. This repository is meant to be a starting point for building your own extraction application which may have slightly different requirements or use cases.

Call GPT is a voice application that utilizes Deepgram for Speech to Text, elevenlabs for Text to Speech, and OpenAI for GPT prompt completion. It allows users to chat with ChatGPT on the phone, providing better transcription, understanding, and speaking capabilities than traditional IVR systems. The app returns responses with low latency, allows user interruptions, maintains chat history, and enables GPT to call external tools. It coordinates data flow between Deepgram, OpenAI, ElevenLabs, and Twilio Media Streams, enhancing voice interactions.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

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

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

Acts as an applied economics expert with the teaching style of physicist Richard Feynman

Online application building manager.

Tigren is an e-commerce web and app development company based in Hanoi, Vietnam. Founded in 2012, it has established itself as a key player in the e-commerce solution sector, particularly in Asia.

An expert assistant in the .Net Framework, providing solutions and code examples.

Cloud computing ace with an old school vibe.

I assist in idea validation with a curious and analytical approach against Biases , using visuals for clarity.

An expert in Next.js, offering detailed knowledge and coding tips.

Your academic rebuttal assistant, blending precision and approachability.

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.

A Web3 expert providing in-depth knowledge on blockchain, cryptocurrencies, and more.

ELI5 guide to crypto and web3

我是专门为神经科学领域设计的，可以帮助你在这一领域内进行高水平的研究和写作

电影剧本生成器，将文章转化为拍摄脚本和镜头构图

Expert in IPO Strategy, offers detailed guidance on business ideas, market paths, and opportunities. Created by Christopher Perceptions

AI to help expand and develop ideas. Start a conversation with: IdeaGPT or Here is an idea or I have an idea, followed by your idea.

An astute educational assistant trained using premier medical texts.

An expert in AI strategy, offering insights on AI implementation and industry trends.