Best AI tools for< Build Credit >

Cushion is an AI-powered tool designed to simplify bill management and credit building. It securely connects to your accounts, organizes bills, and offers insights to help you budget better. With features like automatic bill tracking, virtual Cushion card payments, and credit history building, Cushion aims to make bill payments painless and credit building seamless.

Clerkie is a powerful debt repayment and optimization platform that offers a full-service automation solution powered by machine learning and human expertise. It helps lenders, both big and small, to manage and optimize their loan portfolios efficiently. With features like smart payment experience, AI-driven repayment strategies, real-time reporting, and easy integration, Clerkie ensures a seamless and secure experience for lenders and borrowers alike.

Cleo is an AI-powered financial management tool that helps users with budgeting, saving, building credit, and managing their finances. It offers features like cash advances, budgeting tips, credit building tools, and personalized financial advice. Cleo uses AI technology to provide users with insights and recommendations to improve their financial health. The application aims to make money management easy and accessible for everyone, without the need for credit checks or complex financial jargon.

AI Chatbot Hub is a no-code AI chatbot platform that allows users to create AI agents quickly and easily. Users can build AI chatbots in minutes, customize appearance, track every chat with variables and labels, and integrate the chatbots anywhere. The platform offers features like lead collection, dynamic webhooks, file upload, human support, auto chatbot re-train, function calling, training files, sources and citations, and fine-tune intents. AI Chatbot Hub is suitable for various industries such as customer support, real estate, healthcare, restaurants, e-commerce, insurance, and contractors. It offers flexible pricing plans catering to small businesses and growing brands, with features like unlimited messages, AI agents, storage space, collaborators, tokens per chatbot, AI models, variables, conversation labels, and more.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

AI Credit Repair is an AI-powered application designed to help users improve their credit score by providing tools such as credit card utilization builder, public records remover, dispute letter generator, and SMS alerts. The application assists users in managing their credit card payments, disputing collections, and staying on top of their credit-related activities. By leveraging artificial intelligence technology, AI Credit Repair aims to simplify the credit repair process and empower users to build a better financial future.

The website 'What should I build next?' is a platform designed to help developers generate random development project ideas. It serves as the ultimate resource for developers seeking inspiration for their next project. Users can pick components or randomize to generate unique project ideas. The platform also offers a Challenge Mode for added excitement. Additionally, free credits are rewarded to active users daily, ensuring a continuous flow of ideas. The website aims to support developers in overcoming creative blocks and sparking innovation.

Veriff.com is an AI-powered identity verification platform designed for fraud prevention, compliance, and enhancing customer trust. It offers a combination of AI and human verification teams to ensure genuine users have a seamless experience while keeping fraudsters at bay. Veriff provides services such as identity and document verification, proof of address, database verification checks, age validation, KYC onboarding, AML screening, biometric authentication, age estimation, fraud protection, and fraud intelligence.

Zappr.AI is an AI-powered platform that offers advanced chatbots for businesses to engage, support, and convert customers without the need for coding. The platform streamlines customer inquiries, scheduling, lead capture, and offers tailored solutions for various industries. With features like 24/7 availability, fast resolutions, and support for multiple document formats, Zappr.AI aims to boost efficiency and customer satisfaction while cutting down on human resource costs. The platform also integrates with popular messaging apps and CRM systems, ensuring seamless communication and lead generation.

Basis Theory is a token orchestration platform that helps businesses route transactions through multiple payment service providers (PSPs) and partners, enabling seamless subscription payments while maintaining PCI compliance. The platform offers secure and transparent payment flows, allowing users to connect to any partner or platform, collect and store card data securely, and customize payment strategies for various use cases. Basis Theory empowers high-risk merchants, subscription platforms, marketplaces, fintechs, and other businesses to optimize their payment processes and enhance customer experiences.

Crisp is an all-in-one AI-powered business messaging platform that centralizes teams, conversations, data, and knowledge in one place. It offers features like centralizing inbound messages, automations, CRM integration, AI agent training, knowledge base creation, website chat widget, proactive campaigns, and more. Crisp aims to streamline customer support, marketing, and sales processes by leveraging artificial intelligence and automation.

Finbots.ai is a trusted AI credit risk platform that offers AI credit scoring to boost lending profits and reduce non-performing loans. The platform provides the highest accuracy in the market, allowing users to build scorecards in a day without the need for coding. It helps in making instant decisions, increasing revenue, reducing risk, and improving operational efficiency. Finbots.ai is utilized by various financial institutions to enhance credit risk management, improve profitability, and drive down the cost of risk through AI-enabled models.

Kamara is an AI-powered coder that functions as a VS Code extension. It adapts to your codebase, effortlessly implementing features across multiple files. Kamara works best with short files and specific implementation ideas. It uses a credit-based system for payment, where users pay for the code read and written. The team actively working on Kamara includes Gonza Nardini and Diego Vazquez. Users can provide feedback and join the Discord server for support.

Underwrite.ai is a platform that leverages advances in artificial intelligence and machine learning to provide lenders with nonlinear, dynamic models of credit risk. By analyzing thousands of data points from credit bureau sources, the application accurately models credit risk for consumers and small businesses, outperforming traditional approaches. Underwrite.ai offers a unique underwriting methodology that focuses on outcomes such as profitability and customer lifetime value, allowing organizations to enhance their lending performance without the need for capital investment or lengthy build times. The platform's models are continuously learning and adapting to market changes in real-time, providing explainable decisions in milliseconds.

Wrk is an automation platform that combines API integration with RPA and human skill for complete automation in one platform. It offers pre-built workflow automations, connects to tools that don't have APIs, provides web scraping templates, and allows for human intervention when needed. Wrk automatically chooses the best tools for the job and offers usage-based pricing.

The website appears to be displaying a '403 Forbidden' error message, which typically means that the user is not authorized to access the requested page. This error is often encountered when trying to access a webpage without the necessary permissions. The message 'openresty' suggests that the website may be using the OpenResty web platform. OpenResty is a web platform based on NGINX and Lua that is commonly used for building dynamic web applications. It provides a powerful and flexible environment for developing and deploying web services.

SalesMirror.ai is a real-time prospecting software that helps businesses find leads and make connections. It offers a variety of features, including email finder and verifier, local and SaaS lead finder, investor finder, and technology finder. SalesMirror.ai has over 250 million data points on companies and decision makers, and it provides unlimited, real-time search. With its affordable pricing and real-time systems, SalesMirror.ai is a great choice for businesses of all sizes.

GetResponse is an email marketing and marketing automation platform that helps businesses of all sizes grow their audience, engage with customers, and drive sales. With a suite of powerful tools, including email marketing, landing pages, forms, and automation, GetResponse makes it easy to create and execute effective marketing campaigns. GetResponse also offers a range of integrations with other business tools, making it easy to connect your marketing efforts with your CRM, e-commerce platform, and more.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide fair and transparent credit for everyone, making lending more accessible and inclusive.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide powerful AI for better lending outcomes by accelerating loan growth and expanding credit access through accurate risk prediction and faster credit decisions.

Wave Apps is a directory of sample applications built on H2O Wave, allowing users to build AI apps faster. The apps cover various use cases such as explainable hotel ratings, human-in-the-loop credit risk assessment, mitigating churn risk, online shopping recommendations, and sales forecasting EDA. Users can download, modify, and integrate these sample apps into their own projects to learn about app development and AI model deployment.

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.

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 |

Mastra is an opinionated Typescript framework designed to help users quickly build AI applications and features. It provides primitives such as workflows, agents, RAG, integrations, syncs, and evals. Users can run Mastra locally or deploy it to a serverless cloud. The framework supports various LLM providers, offers tools for building language models, workflows, and accessing knowledge bases. It includes features like durable graph-based state machines, retrieval-augmented generation, integrations, syncs, and automated tests for evaluating LLM outputs.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

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.

TEN Agent is an open-source multimodal agent powered by the world’s first real-time multimodal framework, TEN Framework. It offers high-performance real-time multimodal interactions, multi-language and multi-platform support, edge-cloud integration, flexibility beyond model limitations, and real-time agent state management. Users can easily build complex AI applications through drag-and-drop programming, integrating audio-visual tools, databases, RAG, and more.

The edge2ai-workshop repository provides a hands-on workshop for building an IoT Predictive Maintenance workflow. It includes lab exercises for setting up components like NiFi, Streams Processing, Data Visualization, and more on a single host. The repository also covers use cases such as credit card fraud detection. Users can follow detailed instructions, prerequisites, and connectivity guidelines to connect to their cluster and explore various services. Additionally, troubleshooting tips are provided for common issues like MiNiFi not sending messages or CEM not picking up new NARs.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

Headwind Simulations A339X - A330-900neo is an open-source project aimed at creating a free Airbus A330-900neo for Microsoft Flight Simulator. The project is based on the FlyByWire System A32NX and offers a detailed simulation of the A330-941 model with various components like engines, FMS, ACAS, ATC, and more. Users can build the aircraft using Docker and node modules, and the package can be easily integrated into MSFS. The project is part of a collaborative effort with other open-source projects contributing to the aircraft's systems, cockpit, sound, and 3D parts. The repository is dual-licensed under GNU GPLv3 for textual-form source code and CC BY-NC 4.0 for artistic assets, ensuring proper usage and attribution of the content.

PurpleWave is a tournament-winning AI player for StarCraft: Brood War written in Scala. It has won multiple competitions and is capable of playing all three races with a variety of professional-style strategies. PurpleWave has ranked #1 on various ladders and credits several individuals and communities for its development and success. The tool can be built using specific steps outlined in the readme and run either from IntelliJ IDEA or as a JAR file in the StarCraft directory. PurpleWave is published under the MIT License, encouraging users to use it as a starting point for their own creations.

OllamaSharp is a .NET binding for the Ollama API, providing an intuitive API client to interact with Ollama. It offers support for all Ollama API endpoints, real-time streaming, progress reporting, and an API console for remote management. Users can easily set up the client, list models, pull models with progress feedback, stream completions, and build interactive chats. The project includes a demo console for exploring and managing the Ollama host.

Eidos is an extensible framework for managing personal data in one place. It runs inside the browser as a PWA with offline support. It integrates AI features for translation, summarization, and data interaction. Users can customize Eidos with Prompt extension, JavaScript for Formula functions, TypeScript/JavaScript for data processing logic, and build apps using any framework. Eidos is developer-friendly with API & SDK, and uses SQLite standardization for data tables.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

Ivy is an open-source machine learning framework that enables users to convert code between different ML frameworks and write framework-agnostic code. It allows users to transpile code from one framework to another, making it easy to use building blocks from different frameworks in a single project. Ivy also serves as a flexible framework that breaks free from framework limitations, allowing users to publish code that is interoperable with various frameworks and future frameworks. Users can define trainable modules and layers using Ivy's stateful API, making it easy to build and train models across different backends.

Melodisco is an AI music player that allows users to listen to music and manage playlists. It provides a user-friendly interface for music playback and organization. Users can deploy Melodisco with Vercel or Docker for easy setup. Local development instructions are provided for setting up the project environment. The project credits various tools and libraries used in its development, such as Next.js, Tailwind CSS, and Stripe. Melodisco is a versatile tool for music enthusiasts looking for an AI-powered music player with features like authentication, payment integration, and multi-language support.

LangChain is a C# implementation of the LangChain library, which provides a composable way to build applications with LLMs (Large Language Models). It offers a variety of features, including: - A unified interface for interacting with different LLMs, such as OpenAI's GPT-3 and Microsoft's Azure OpenAI Service - A set of pre-built chains that can be used to perform common tasks, such as question answering, summarization, and translation - A flexible API that allows developers to create their own custom chains - A growing community of developers and users who are contributing to the project LangChain is still under development, but it is already being used to build a variety of applications, including chatbots, search engines, and writing assistants. As the project continues to mature, it is expected to become an increasingly valuable tool for developers who want to build applications with LLMs.

TensorRT-LLM is an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM contains components to create Python and C++ runtimes that execute those TensorRT engines. It also includes a backend for integration with the NVIDIA Triton Inference Server; a production-quality system to serve LLMs. Models built with TensorRT-LLM can be executed on a wide range of configurations going from a single GPU to multiple nodes with multiple GPUs (using Tensor Parallelism and/or Pipeline Parallelism).

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街を作ろう　街を作ろう　変わらぬ鼓動　弾ませろよ (作者: @_saip_)

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