Best AI tools for< Make Presentations >

Venngage is a professional infographic software that offers over 10,000 templates for creating visually appealing and accessible designs. The platform provides a range of features such as AI-powered design tools, accessible editor and templates, branding and collaboration options, smart diagram features, diverse icons, and free stock photos. Users can easily create infographics, reports, presentations, diagrams, charts, and more with Venngage's user-friendly interface and AI-driven features.

Screen Story is a Mac screen recorder tool that allows users to capture and record screens with ease. It offers features like automatic zoom, smooth cursor movement, offline recording, webcam and microphone support, and a simple editing interface. Users can create high-quality videos without the need for video editing skills. Screen Story is trusted by entrepreneurs, designers, marketers, and developers for creating product demos, video tutorials, social media content, and more.

CloneMyVoice is an AI tool that specializes in creating AI audio voiceovers for long-form content such as podcasts, presentations, and social media. Users can save up to 80% compared to competitors and 99% compared to human voice actors. The platform allows users to upload source audio files and text, provide voice samples, and receive processed audio files within one hour. CloneMyVoice offers the ability to create audio presentations, social media content, podcasts, and audio books effortlessly. The AI can generate flawless English voices with British or American accents, capturing the tone and essence of the original voice.

AI Graphics was a SaaS product that helped users create stunning graphics using artificial intelligence. The product was easy to use and allowed users to create professional-quality graphics in minutes. AI Graphics was a valuable tool for businesses of all sizes, and it was used by a wide range of professionals, including marketers, designers, and entrepreneurs.

SlashDreamer is an AI-powered image generator that allows users to create visuals for their Notion pages. With SlashDreamer, users can write a prompt describing the image they want, and the AI will generate the image directly in Notion. SlashDreamer offers three plans, starting at $0.99/month, and provides features such as unlimited image generation, priority response time, and feature suggestions.

Sound of Text is a free online text-to-speech converter that uses AI technology to convert written text into spoken words. It supports over 840 different voices in more than 135 languages, and allows users to download the resulting audio files in a variety of formats. Sound of Text is easy to use and can be used for a variety of purposes, such as creating audiobooks, podcasts, and presentations.

PopAi is a personal AI workspace that revolutionizes document interaction, offering seamless navigation, enhanced readability, and universal accessibility. It allows users to effortlessly navigate through intricate documents, magnify details, and tailor the layout for supreme clarity. PopAi also generates images on command, provides access to image prompts and generation codes, and offers image-based homework help, enriching educational support with visual aids. Additionally, it can effortlessly turn ideas into PowerPoint slides with customizable outlines, smart layouts, and automatic illustrations.

Festive is a video and slideshow maker app that allows users to create stunning slideshows from their photos and videos. It offers a wide range of features, including over 50 slideshow templates, a large music library, and AI-generated creative quotes. Festive is easy to use, with intuitive features like drag-and-drop photo placement and easy text customization. It is perfect for creating slideshows for any occasion, from birthdays and anniversaries to casual get-togethers.

TopDesign AI is a powerful AI-powered design tool that helps you create stunning designs in seconds. With TopDesign AI, you can easily create social media graphics, marketing materials, presentations, and more. TopDesign AI is perfect for businesses of all sizes, from startups to large enterprises. With TopDesign AI, you can create high-quality designs without any design experience.

Napkin AI is a visual AI tool designed for business storytelling. It transforms text into visuals like diagrams, charts, scenes, and images, making it quick and effective to share ideas. With features such as icon database, decorators, dynamic connectors, and various customization options, Napkin helps users create impactful visuals for presentations, social media, blogs, and more. The tool offers a user-friendly interface and modern design, making it easy to generate and edit visuals directly from text.

PythonDataScienceFullThrottle is a comprehensive repository containing various Python scripts, libraries, and tools for data science enthusiasts. It includes a wide range of functionalities such as data preprocessing, visualization, machine learning algorithms, and statistical analysis. The repository aims to provide a one-stop solution for individuals looking to dive deep into the world of data science using Python.

PowerPointer For Local LLMs is a PowerPoint generator that uses python-pptx and local llm's via the Oobabooga Text Generation WebUI api to create beautiful and informative presentations. It runs locally on your computer, eliminating privacy concerns. The tool allows users to select from 7 designs, make placeholders for images, and easily customize presentations within PowerPoint. Users provide information for the PowerPoint, which is then used to generate text using optimized prompts and the text generation webui api. The generated text is converted into a PowerPoint presentation using the python-pptx library.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

Lhotse is a Python library designed to make speech and audio data preparation flexible and accessible. It aims to attract a wider community to speech processing tasks by providing a Python-centric design and an expressive command-line interface. Lhotse offers standard data preparation recipes, PyTorch Dataset classes for speech tasks, and efficient data preparation for model training with audio cuts. It supports data augmentation, feature extraction, and feature-space cut mixing. The tool extends Kaldi's data preparation recipes with seamless PyTorch integration, human-readable text manifests, and convenient Python classes.

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

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

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.

SlideDeck AI is a tool that leverages Generative Artificial Intelligence to co-create slide decks on any topic. Users can describe their topic and let SlideDeck AI generate a PowerPoint slide deck, streamlining the presentation creation process. The tool offers an iterative workflow with a conversational interface for creating and improving presentations. It uses Mistral Nemo Instruct to generate initial slide content, searches and downloads images based on keywords, and allows users to refine content through additional instructions. SlideDeck AI provides pre-defined presentation templates and a history of instructions for users to enhance their presentations.

The 'bookmark-summary' repository reads bookmarks from 'bookmark-collection', extracts text content using Jina Reader, and then summarizes the text using LLM. The detailed implementation can be found in 'process_changes.py'. It needs to be used together with the Github Action in 'bookmark-collection'.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

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

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

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

ML Contests is a platform that provides a sortable list of public machine learning/data science/AI contests, viewable on mlcontests.com. Users can submit pull requests for any changes or additions to the competitions list by editing the competitions.json file on the GitHub repository. The platform requires mandatory fields such as competition name, URL, type of ML, deadline for submissions, prize information, platform running the competition, and sponsorship details. Optional fields include conference affiliation, conference year, competition launch date, registration deadline, additional URLs, and tags relevant to the challenge type. The platform is transitioning towards assigning multiple tags to competitions for better categorization and searchability.

生成3D城市天气海报

Directly outputs blog covers in 1.91:1 aspect ratio

Create custom graphics for social media

生成青花瓷风格融合的图像

Arabic-speaking assistant for graphic designers

Creates playful, cartoon-style dark romance emoticons

Помічник у публічних стратегічних документах Національного банку України

Expert in creating Canva-ready documents

Generates diverse media content; doesn't repeat or clarify instructions.

Finds the relevant XKCD comic for the described scenario