Best AI tools for< Estimate Project Cost >

CostGPT is an AI application that simplifies software project planning by providing comprehensive roadmaps that include detailed estimates like costs, features, sitemaps, and milestones. It offers a straightforward pricing model with no subscription fees and helps users plan and manage their software projects efficiently.

Jusi Marketplace is an AI-powered platform that aims to increase the efficiency of website and web application development by up to 25%. It utilizes cutting-edge AI solutions to create Terms of Reference (TOR) for product development and match users with suitable studios in the marketplace. With features like AI-generated TOR, competitor analysis, project cost estimation, and performer selection, Jusi simplifies the process of creating website briefs and helps users make informed decisions for their projects.

HomeHelper is an AI-powered platform designed to assist users with home improvement projects. It offers personalized guidance, project cost estimation, step-by-step instructions, and expert advice through its AI assistant, LEO. Users can track their home improvement journey, receive project consultations, and access a wealth of home improvement information. HomeHelper aims to empower users with knowledge and support to tackle DIY projects with confidence.

EstimateAI is an AI-powered application that revolutionizes time management by providing accurate and personalized task execution time estimates. It utilizes advanced AI algorithms to offer detailed estimates of task durations, enabling better planning and time management. The app helps individuals and teams prioritize effectively, manage workloads efficiently, and make data-driven decisions. It is customizable to various industries and features a user-friendly interface. EstimateAI is designed for freelancers, startups, and large corporations to optimize time management and boost productivity.

Storylist is an AI-powered tool designed to transform project ideas into actionable tasks instantly. It efficiently communicates project vision to development teams, simplifies project management processes, and generates user stories effortlessly. With a user-friendly platform, non-tech founders, solopreneurs, and freelance developers can collaborate seamlessly, estimate task times, and sync tasks with GitHub. Storylist aims to streamline project collaboration and development goals, making it easy to share project requirements with external parties and automate time estimates for tasks.

Plan Fast is an AI-powered scrum planning poker app designed to enhance team productivity. It offers features such as AI-powered issue identification, effortless Jira integration, and a wide range of themes to personalize the planning experience. Plan Fast aims to provide accurate story and task estimates, streamline the planning process, and improve overall team collaboration.

Savvy Planner is an AI task manager that offers a free, smart, and efficient way to manage projects using artificial intelligence technology. It helps users automate project scheduling, analyze project data, estimate tasks, and predict deadlines, ultimately transforming project management processes. With features like data analysis, machine learning, neural networks, and language processing, Savvy Planner streamlines workflow and enhances decision-making through data-driven insights.

Find Your AIs is an AI directory website that showcases a wide range of AI tools and applications. It offers a platform for users to explore and discover various AI-powered solutions across different categories such as digital wellness, marketing, text-to-image generation, resume customization, and more. The website aims to connect users with innovative AI technologies to enhance their daily lives and work efficiency.

Handoff AI Estimating is an AI tool designed to help contractors and residential construction businesses automate their operations with the power of Artificial Intelligence. The application provides instant AI estimates, client management system, winning AI proposals, digital invoicing, and integration with top construction suppliers. Handoff aims to streamline the estimating process, improve accuracy, and accelerate business growth for remodelers, handymen, and fix and flip professionals.

Artifise is an AI-powered productivity tool that revolutionizes task management by simplifying to-do lists and enhancing productivity. It offers features like Focus Mode for distraction-free work, AI Project creation for project planning, and Personal llm's for personalized language models. With Artifise, users can experience effortless daily task management and improved efficiency.

Beam AI is the #1 end-to-end automated takeoff software designed for General Contractors, Subcontractors, and Suppliers in the construction industry. It leverages cutting-edge Artificial Intelligence technology to provide accurate and fast quantity takeoffs for various trades, saving up to 90% of the time typically spent on manual takeoffs. With Beam AI, users can streamline their bidding process, send out more estimates, and focus on value engineering to build competitive estimates. The software offers features such as cloud-based collaboration, 100% done-for-you quantity takeoffs, auto-detection of spec details, and the ability to process multiple takeoffs in parallel.

AI-Design.pro is an AI-powered service that creates interior design projects. It utilizes artificial intelligence to generate interior design albums with accurate architectural and design drawings, visualizations, and detailed specifications for furniture and materials. The platform streamlines the interior design process, making it more efficient and significantly reducing the time it takes to locate an interior designer. Users can create customized design projects tailored to their specific requirements without the need for a designer, meetings, or phone calls. The service offers a simple and intuitive interface, hundreds of design options, and automated procurement estimates for purchasing furniture and materials.

How Old Do I Look is a free online AI face age detector that utilizes advanced AI technology to estimate the age of a person based on their uploaded photo. Users can easily upload a photo without the need for registration or login, ensuring a quick and fun experience. The tool provides instant results by analyzing facial features and characteristics through AI-powered algorithms. User privacy is prioritized as photos are securely processed and not stored on the servers. How Old Do I Look offers a unique way to see one's age through the eyes of AI, allowing for entertaining comparisons with friends and family.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Token Counter is an AI tool designed to convert text input into tokens for various AI models. It helps users accurately determine the token count and associated costs when working with AI models. By providing insights into tokenization strategies and cost structures, Token Counter streamlines the process of utilizing advanced technologies.

Capehost.ai is a full-service vacation rental management application that helps property owners maximize their earnings and minimize stress. The platform offers comprehensive services including marketing, reservations, check-ins, support, cleaning, restocking, and managing contractors. With a focus on increasing revenue, Capehost.ai utilizes AI-powered price-setting technology, professional in-house teams, and owner portal access for real-time property performance monitoring. The application provides 24/7 guest support, highest occupancy rates, and advertising on major platforms to ensure property exposure. Capehost.ai also offers low management fees, no commitments, and the freedom to cancel anytime.

This AI Calorie Calculator is a free online tool that uses advanced AI algorithms to analyze the food in your uploaded images and estimate the total calorie count. It is designed to help you manage your diet and plan your meals effectively. The calculator is versatile and includes specialized features for children's calorie calculation, weight loss planning, athlete calorie estimation, sauna calorie estimation, and more. It also supports various dietary needs and counting methods globally.

Azyri is an AI-powered medical assistant that provides bone age assessment services to healthcare professionals, students, and AI enthusiasts. It offers free access to its AI-based bone age estimation tool, allowing users to obtain an estimate of a patient's bone age from a simple X-ray image. Azyri's mission is to make bone age assessment more accessible and efficient, empowering healthcare providers with valuable insights for patient care.

This AI-powered age detection tool analyzes your photo to estimate how old you look. It utilizes advanced artificial intelligence technology to assess facial characteristics such as wrinkles, skin texture, and facial features, comparing them against a vast dataset to provide an approximation of your age. The tool is free to use and ensures privacy by automatically deleting uploaded photos after analysis.

Realtor.com® is a real estate platform that provides a wide range of services for buying, renting, and selling homes. The website offers listings for homes, apartments, and houses for rent, as well as tools for pre-approval, home value estimation, and browsing properties in various locations. Users can find information on new listings, price reductions, open houses, recently sold properties, new constructions, and more. Realtor.com® also provides resources for real estate professionals and homeowners, including market trends, educational materials, and networking opportunities.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

FlashRank is an ultra-lite and super-fast Python library designed to add re-ranking capabilities to existing search and retrieval pipelines. It is based on state-of-the-art Language Models (LLMs) and cross-encoders, offering support for pairwise/pointwise rerankers and listwise LLM-based rerankers. The library boasts the tiniest reranking model in the world (~4MB) and runs on CPU without the need for Torch or Transformers. FlashRank is cost-conscious, with a focus on low cost per invocation and smaller package size for efficient serverless deployments. It supports various models like ms-marco-TinyBERT, ms-marco-MiniLM, rank-T5-flan, ms-marco-MultiBERT, and more, with plans for future model additions. The tool is ideal for enhancing search precision and speed in scenarios where lightweight models with competitive performance are preferred.

KaTrain is a tool designed for analyzing games and playing go with AI feedback from KataGo. Users can review their games to find costly moves, play against AI with immediate feedback, play against weakened AI versions, and generate focused SGF reviews. The tool provides various features such as previews, tutorials, installation instructions, and configuration options for KataGo. Users can play against AI, receive instant feedback on moves, explore variations, and request in-depth analysis. KaTrain also supports distributed training for contributing to KataGo's strength and training bigger models. The tool offers themes customization, FAQ section, and opportunities for support and contribution through GitHub issues and Discord community.

LaVague is an open-source Large Action Model framework that uses advanced AI techniques to compile natural language instructions into browser automation code. It leverages Selenium or Playwright for browser actions. Users can interact with LaVague through an interactive Gradio interface to automate web interactions. The tool requires an OpenAI API key for default examples and offers a Playwright integration guide. Contributors can help by working on outlined tasks, submitting PRs, and engaging with the community on Discord. The project roadmap is available to track progress, but users should exercise caution when executing LLM-generated code using 'exec'.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

The 'END TO END GENERATIVE AI PROJECTS' repository is a collection of awesome industry projects utilizing Large Language Models (LLM) for various tasks such as chat applications with PDFs, image to speech generation, video transcribing and summarizing, resume tracking, text to SQL conversion, invoice extraction, medical chatbot, financial stock analysis, and more. The projects showcase the deployment of LLM models like Google Gemini Pro, HuggingFace Models, OpenAI GPT, and technologies such as Langchain, Streamlit, LLaMA2, LLaMAindex, and more. The repository aims to provide end-to-end solutions for different AI applications.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

The 'Generative AI' repository provides a C# library for interacting with Google's Generative AI models, specifically the Gemini models. It allows users to access and integrate the Gemini API into .NET applications, supporting functionalities such as listing available models, generating content, creating tuned models, working with large files, starting chat sessions, and more. The repository also includes helper classes and enums for Gemini API aspects. Authentication methods include API key, OAuth, and various authentication modes for Google AI and Vertex AI. The package offers features for both Google AI Studio and Google Cloud Vertex AI, with detailed instructions on installation, usage, and troubleshooting.

FiniteMonkey is an advanced vulnerability mining engine powered purely by GPT, requiring no prior knowledge base or fine-tuning. Its effectiveness significantly surpasses most current related research approaches. The tool is task-driven, prompt-driven, and focuses on prompt design, leveraging 'deception' and hallucination as key mechanics. It has helped identify vulnerabilities worth over $60,000 in bounties. The tool requires PostgreSQL database, OpenAI API access, and Python environment for setup. It supports various languages like Solidity, Rust, Python, Move, Cairo, Tact, Func, Java, and Fake Solidity for scanning. FiniteMonkey is best suited for logic vulnerability mining in real projects, not recommended for academic vulnerability testing. GPT-4-turbo is recommended for optimal results with an average scan time of 2-3 hours for medium projects. The tool provides detailed scanning results guide and implementation tips for users.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

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Your go-to assistant for construction bidding. Upload photos or documents and start estimating!

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Expert in modern, energy-efficient architectural design.

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Professional and approachable painting assistant with comprehensive capabilities.