Best AI tools for< Project Budgeting >

Connected-Stories is the next generation of Creative Management Platforms powered by AI. It is a cloud-based platform that helps creative teams to manage their projects, collaborate with each other, and track their progress. Connected-Stories uses AI to automate many of the tasks that are typically associated with creative management, such as scheduling, budgeting, and resource allocation. This allows creative teams to focus on their work and be more productive.

Project Aeon is a leading AI video production tool that helps publishers convert text into monetizable videos. It creates high-quality videos aligned with brand guidelines, improves audience engagement, increases conversions, and optimizes video performance using AI technology. Aeon ensures brand consistency, analyzes content, storyboards, sources, and edits videos, and continually experiments to drive higher engagement. The tool is backed by world-class investors and has been selected to join prestigious accelerators run by Microsoft and NVIDIA.

Project Infinite is a revolutionary platform that empowers you to create an AI-powered version of yourself, ensuring your stories, wisdom, and legacy live on for generations to come. Through an intuitive storytelling platform, you can share your experiences, thoughts, and memories, which are then synthesized by advanced AI algorithms to create a dynamic digital persona that mimics your speech patterns, values, and even sense of humor. This Infinite Avatar can interact with your loved ones anytime, anywhere, providing guidance, inspiration, and a comforting connection to your presence.

Elsa by M1-project is the ultimate AI marketing assistant tool designed to revolutionize marketing strategies for businesses. It offers a comprehensive range of features to help users from strategy generation to campaign execution. Elsa leverages advanced AI technologies to identify ideal customers, provide marketing strategies, and create engaging content for social media. With a focus on cost-effectiveness and founder-friendly guidance, Elsa aims to streamline marketing processes and accelerate business growth. The tool is user-friendly, lightning-fast, and backed by a 7-day money-back guarantee, ensuring customer satisfaction and confidence in its services.

M1-Project is an AI-powered marketing assistant tool designed to help small businesses develop winning marketing strategies without breaking the bank. It offers a range of tools such as Marketing Strategy Generator, ICP Generator, Facebook Ad Generator, Marketing Activities Generator, and Homepage Roaster to streamline marketing processes and boost business growth. The platform also provides case studies showcasing real results achieved by customers using AI insights. With a focus on AI-driven solutions, M1-Project aims to empower users with valuable marketing assistance and insights.

People's Project.com - The latest news from the world of technology, science, and culture. We are a team of journalists, engineers, and designers who are passionate about bringing you the latest news and insights on the technologies that are shaping our world. We believe that technology has the power to make the world a better place, and we are committed to providing you with the information you need to make informed decisions about how you use it. In addition to our news coverage, we also offer a variety of resources to help you learn more about technology. These resources include: * **Tutorials:** Step-by-step guides to help you learn how to use new technologies. * **Reviews:** In-depth reviews of the latest gadgets and software. * **Interviews:** Interviews with leading experts in the field of technology. * **Podcasts:** Weekly podcasts that cover the latest news and trends in technology. We hope you find our website helpful and informative. Please feel free to contact us if you have any questions or suggestions.

The Open Interpreter Project is an AI tool that enables users to run code on their computers to complete tasks. It offers a new way of interacting with computers by leveraging LLMs (Large Language Models). The project aims to simplify coding tasks and enhance productivity by providing a platform for executing code seamlessly.

Young Urban Project is an AI-powered online learning platform that offers practical upskilling courses for individuals looking to advance their careers in marketing and product management. The platform provides expert-led live cohort programs, on-demand specialization courses, and workshops to help learners acquire in-demand skills from industry experts. With a focus on practical learning and accountability, Young Urban Project aims to deliver hands-on assignments and measurable outcomes to ensure industry readiness. The platform also offers AI-powered courses such as SEO Mastery, Facebook & Instagram Ads, and Direct-Response Copywriting with AI, catering to a wide range of learners. With a diverse team of mentors and a user-friendly interface, Young Urban Project provides a comprehensive learning experience for professionals seeking career growth.

InVID is a knowledge verification platform that helps detect emerging stories and assess the reliability of newsworthy video files and content spread via social media. It provides tools and services to help users verify the authenticity of videos and identify potential misinformation.

Trello is a project management tool that helps teams organize and track their work. It is a visual tool that uses boards, lists, and cards to represent tasks and projects. Trello can be used for a variety of purposes, including project planning, task management, team collaboration, and customer relationship management. It is a cloud-based tool that can be accessed from any device with an internet connection. Trello is free to use for individuals and small teams, and there are paid plans available for larger teams and organizations.

ScrumDesk is an online scrum and kanban project management tool for agile teams. It supports objectives and key results, user stories mapping, retrospectives, root cause analysis and many great agile practices. Since 2007.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

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.

Kodus is an AI-powered tool designed for agile project management. It offers automated assistance to team leaders in analyzing team performance, identifying productivity opportunities, and providing improvement suggestions. The tool keeps teams updated on progress, automates management processes, and ensures the integrity of engineering and agility metrics. Kodus aims to help teams unlock their full potential by streamlining processes and enhancing productivity within 90 days.

Nyota.ai is an AI meeting assistant designed to help manage projects and people efficiently. It automatically takes meeting notes, creates tickets, and prepares agendas for upcoming calls. With seamless integrations with various project management tools and CRMs, Nyota aims to centralize workflows and boost operational efficiency. The application prioritizes security and privacy by encrypting all data at rest and ensuring staff undergo security training. Nyota helps users deliver projects on time, reclaim hours by automating administrative tasks, and provides valuable insights for quick decision-making.

Todo.is is an AI-powered task management and project organization application designed to enhance productivity and efficiency. It offers features such as AI-powered task generation, smart suggestions, and seamless collaboration tools. Users can interact with an AI assistant for instant support, convert text to speech, analyze images, and more. Todo.is is suitable for teams across various industries, providing a structured approach to task management and project organization.

LotseAI is an AI-powered program management tool designed to streamline projects, align teams, and enhance decision-making. It offers secure integrations with popular tools like Notion, Google Docs, Jira, Trello, Asana, Slack, and more. LotseAI provides features such as effortless information retrieval, seamless tool integration, AI-powered reporting & insights, and dynamic tools for dynamic leaders. It helps users free up time from manual tasks, stay ahead of potential roadblocks, and keep stakeholders informed and engaged.

ThinkTask is a project and team management tool that utilizes ChatGPT's capabilities to enhance productivity and streamline task management. It offers AI-generated reports and insights, AI usage tracking, Team Pulse for visualizing task types and status, Project Progress Table for monitoring project timelines and budgets, Task Insights for illustrating task interdependencies, and a comprehensive Overview for visualizing progress and managing dependencies. Additionally, ThinkTask features one-click auto-task creation with notes from ChatGPT, auto-tagging for task organization, and AI-suggested task assignments based on past experience and skills. It provides a unified workspace for notes, tasks, databases, collaboration, and customization.

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

Power PM AI is an advanced project management tool that leverages artificial intelligence to streamline project planning, execution, and monitoring. The application utilizes AI algorithms to automate task assignments, optimize resource allocation, and provide real-time insights for project managers. With features such as predictive analytics, risk assessment, and automated reporting, Power PM AI empowers teams to deliver projects efficiently and effectively. The intuitive interface and customizable dashboards make it easy for users to track progress, identify bottlenecks, and make data-driven decisions. Whether you are managing a small team or a large-scale project, Power PM AI is designed to enhance productivity and drive project success.

Spider is a high-performance web crawler and indexer designed to handle data curation workloads efficiently. It offers features such as concurrency, streaming, decentralization, headless Chrome rendering, HTTP proxies, cron jobs, subscriptions, smart mode, blacklisting, whitelisting, budgeting depth, dynamic AI prompt scripting, CSS scraping, and more. Users can easily get started with the Spider Cloud hosted service or set up local installations with spider-cli. The tool supports integration with Node.js and Python for additional flexibility. With a focus on speed and scalability, Spider is ideal for extracting and organizing data from the web.

AIP Community Registry is a collection of community-built applications and projects leveraging Palantir's AIP Platform. It showcases real-world implementations from developers using AIP in production. The registry features various solutions demonstrating practical implementations and integration patterns across different use cases.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

AI Agents Framework is a .NET framework built on Semantic Kernel and Orleans for creating and hosting event-driven AI Agents. It is currently in an experimental phase and not recommended for production use. The framework aims to automate requirements engineering, planning, and coding processes using event-driven agents.

Project Lakechain is a cloud-native, AI-powered framework for building document processing pipelines on AWS. It provides a composable API with built-in middlewares for common tasks, scalable architecture, cost efficiency, GPU and CPU support, and the ability to create custom transform middlewares. With ready-made examples and emphasis on modularity, Lakechain simplifies the deployment of scalable document pipelines for tasks like metadata extraction, NLP analysis, text summarization, translations, audio transcriptions, computer vision, and more.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

The OWASP AI Exchange and OWASP AI security and privacy guide are initiatives to collect and present the state of the art on AI threats, controls, security, and privacy through community collaboration. The AI Exchange is a living set of documents that collect AI threats and controls from collaboration between experts worldwide. The AI Security and Privacy Guide project has a security part that links directly to the AI Exchange, and a privacy part.

This repository provides all the necessary items to build a Language Model from scratch, inspired by Karpathy's nanoGPT and Shakespeare generator. It includes data collection tools, data processing scripts, various models like BERT, GPT, and Seq-2-Seq, along with tokenizer and training files.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Project Miyagi showcases Microsoft's Copilot Stack in an envisioning workshop aimed at designing, developing, and deploying enterprise-grade intelligent apps. By exploring both generative and traditional ML use cases, Miyagi offers an experiential approach to developing AI-infused product experiences that enhance productivity and enable hyper-personalization. Additionally, the workshop introduces traditional software engineers to emerging design patterns in prompt engineering, such as chain-of-thought and retrieval-augmentation, as well as to techniques like vectorization for long-term memory, fine-tuning of OSS models, agent-like orchestration, and plugins or tools for augmenting and grounding LLMs.

The NaLLM project repository explores the synergies between Neo4j and Large Language Models (LLMs) through three primary use cases: Natural Language Interface to a Knowledge Graph, Creating a Knowledge Graph from Unstructured Data, and Generating a Report using static and LLM data. The repository contains backend and frontend code organized for easy navigation. It includes blog posts, a demo database, instructions for running demos, and guidelines for contributing. The project aims to showcase the potential of Neo4j and LLMs in various applications.

PmHub is a smart project management system based on SpringCloud, SpringCloud Alibaba, and LLM. It aims to help students quickly grasp the architecture design and development process of microservices/distributed projects. PmHub provides a platform for students to experience the transformation from monolithic to microservices architecture, understand the pros and cons of both architectures, and prepare for job interviews. It offers popular technologies like SpringCloud-Gateway, Nacos, Sentinel, and provides high-quality code, continuous integration, product design documents, and an enterprise workflow system. PmHub is suitable for beginners and advanced learners who want to master core knowledge of microservices/distributed projects.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

This project provides a proof of concept for deploying a scalable, serverless LLM Generative AI inference engine on AWS Lambda. It leverages the llama.cpp project to enable the usage of more accessible CPU and RAM configurations instead of limited and expensive GPU capabilities. By deploying a container with the llama.cpp converted models onto AWS Lambda, this project offers the advantages of scale, minimizing cost, and maximizing compute availability. The project includes AWS CDK code to create and deploy a Lambda function leveraging your model of choice, with a FastAPI frontend accessible from a Lambda URL. It is important to note that you will need ggml quantized versions of your model and model sizes under 6GB, as your inference RAM requirements cannot exceed 9GB or your Lambda function will fail.

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

This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

Guides budget planning and control within projects.

Detailed, interactive cost analysis

Fornisce preventivi dettagliati basati su dati di mercato per servizi IT.

I guide you through remodeling cost estimates.

Assists with Information Technology related project proposal creation and submission.

I'm a PM Edtech Assistant for PMP prep with fun quizzes.

プロジェクト管理おねえさん

Create project ideas from newly learned concepts

A project consultant offering guidance and problem-solving for personal projects.

Assistant for creating a construction project delivery handbook.

This is a project IGI knowledge bot knows about Levels,Graps,QVM,Natives and more

Project guidance with in-depth tech education

Guides agile project management to enhance productivity and efficiency.

Mastering efficient laziness in your projects, big or small. Ask this GPT for a follow-up matrix to optimize next steps.

Facilitates effective communication and feedback between project stakeholders.

Optimizes project resources to ensure efficient delivery.

Optimizes project outcomes through comprehensive post-project evaluations.

Guides project success through comprehensive performance monitoring.

Guides project teams towards successful project completion.

Guides the organization in creating comprehensive project closure documents.