Best AI tools for< Event Organizer >
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10 - AI tool Sites

Soundify
Soundify is a music streaming platform that allows users to discover, listen to, and share music. With a vast library of songs from various genres and artists, Soundify provides a seamless listening experience for music enthusiasts. Users can create personalized playlists, follow their favorite artists, and explore new music recommendations tailored to their preferences. The platform also offers features like offline listening, curated playlists, and social sharing options to enhance the music discovery journey.

DUNNO
DUNNO is an AI-powered quiz platform that uses GPT-based models to generate quizzes and intellectual games. With DUNNO, you can quickly create your own quizzes based on any text, topic, or personal notes. After creating a quiz, you can either play alone or invite friends. DUNNO is suitable for various scenarios, including learning, work, and entertainment. It offers features such as quiz creation, quiz results tracking, and multiple game modes to make learning more engaging and interactive.

ArtGuru Face Swap
ArtGuru Face Swap is a free, AI-powered tool for seamlessly swapping faces in photos. With its user-friendly interface and advanced technology, users can create fun, quirky, or professional images in seconds. The tool is perfect for social media content creators, graphic designers, marketers, educators, and anyone looking to add a creative twist to their photos.

StickerIt.AI
StickerIt.AI is a premier software solution for creating and selling AI-powered stickers directly from your mobile device. The platform allows users to transform any location into a vibrant sticker shop with just two tablets and a printer. StickerIt.AI offers features such as instant AI sticker generation, live sticker design with text-to-image AI technology, pay-as-you-go flexible sticker token purchase plans, and more. The application serves entrepreneurs, freelancers, retail store owners, event organizers, school educators, and sticker professionals, providing them with high-quality, personalized sticker-making experiences and innovative revenue strategies.

Media.io
Media.io is an online platform offering a wide range of AI tools for video, audio, and image editing. Users can easily enhance their creative projects with features like AI Portrait Generator, AI Video Generator, Video Editor, Image Enhancer, and more. The platform provides a drag-and-drop interface, flexible editing options, a vast template library, and powerful AI tools, all accessible directly from the browser. Media.io aims to redefine video creation by providing smart editing solutions for creators in various fields such as business, marketing, social media, and entertainment.

chatQR.ai
chatQR.ai is an AI-powered ordering application that serves as a complete Point Of Sale/Kiosk replacement. It utilizes voice recognition technology combined with the latest Large Language Model (LLM) AI to create a seamless QR code ordering experience for customers. The system is designed to be AI-first, offering mature point of sale features and the ability to integrate the ChatQR Voice Assistant into existing systems. With support for multiple currencies and payment providers like Stripe and Square, chatQR.ai aims to revolutionize the way businesses manage orders and payments.

How Old Do I Look
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.

Felo Subtitles
Felo Subtitles is an AI-powered tool that provides live captions and translated subtitles for various types of content. It uses advanced speech recognition and translation algorithms to generate accurate and real-time subtitles in multiple languages. With Felo Subtitles, users can enjoy seamless communication and accessibility in different scenarios, such as online meetings, webinars, videos, and live events.

Zenus AI
Zenus AI is a behavioral analytics tool for events and retail, offering facial analysis and custom solutions for event organizers, retail brands, and exhibitors. The tool provides insights such as demographics, sentiment analysis, and behavioral tracking with 95% accuracy without collecting personal data. It helps businesses understand consumers, attract more exhibitors, and improve visitor experience through AI-powered solutions.

Vendelux
Vendelux is an AI-powered event intelligence platform that provides insights on attendees and sponsors of over 200,000 B2B events. It offers event marketers and organizers data-driven solutions to maximize event ROI, make informed decisions on event sponsorships, and book more qualified meetings.
20 - Open Source Tools

LLM-Minutes-of-Meeting
LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

UltraSinger
UltraSinger is a tool under development that automatically creates UltraStar.txt, midi, and notes from music. It pitches UltraStar files, adds text and tapping, creates separate UltraStar karaoke files, re-pitches current UltraStar files, and calculates in-game score. It uses multiple AI models to extract text from voice and determine pitch. Users should mention UltraSinger in UltraStar.txt files and only use it on Creative Commons licensed songs.

awesome-ai-summerschool
This repository contains a comprehensive list of various summer schools and winter schools in the field of artificial intelligence, machine learning, medical imaging, and healthcare. It provides detailed information about upcoming events, including the name, venue, date, deadline, organizers, fees, and scholarship details. The repository aims to share opportunities with the community and aspiring AI researchers/engineers, data scientists.

rlhf_trojan_competition
This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

cognita
Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

AiTimeline
AiTimeline is a comprehensive timeline showcasing the evolution and advancements in artificial intelligence technologies from 2022 to 2024. It provides a detailed overview of key milestones, releases, and developments in the AI industry, organized chronologically by year. The timeline offers a responsive design for seamless viewing on various devices and includes brief descriptions for each event, making it a valuable resource for researchers, enthusiasts, and anyone interested in tracking the progress of AI technologies.

Comfyui-Aix-NodeMap
Comfyui-Aix-NodeMap is a project by the Aix team to organize and annotate the latest nodes in Comfyui. It aims to address the challenge of finding nodes effectively as their number increases. The project is continuously updated every 7 days, with the opportunity for users to provide feedback on any omissions or errors. The team respects developers' opinions and strives to make corrections promptly. The project is part of Aix's vision to make humanity more efficient through open-source contributions, including daily updates on workflow, AI information, and node introductions.

ai-science-training-series
This repository contains a student training series focusing on AI-driven science on supercomputers. It covers topics such as ALCF systems overview, AI on supercomputers, neural networks, LLMs, and parallel training techniques. The content is organized into subdirectories with prefixed indexes for easy navigation. The series aims to provide hands-on experience and knowledge in utilizing AI on supercomputers for scientific research.

roo-code-memory-bank
Roo Code Memory Bank is a tool designed for AI-assisted development to maintain project context across sessions. It provides a structured memory system integrated with VS Code, ensuring deep understanding of the project for the AI assistant. The tool includes key components such as Memory Bank for persistent storage, Mode Rules for behavior configuration, VS Code Integration for seamless development experience, and Real-time Updates for continuous context synchronization. Users can configure custom instructions, initialize the Memory Bank, and organize files within the project root directory. The Memory Bank structure includes files for tracking session state, technical decisions, project overview, progress tracking, and optional project brief and system patterns documentation. Features include persistent context, smart workflows for specialized tasks, knowledge management with structured documentation, and cross-referenced project knowledge. Pro tips include handling multiple projects, utilizing Debug mode for troubleshooting, and managing session updates for synchronization. The tool aims to enhance AI-assisted development by providing a comprehensive solution for maintaining project context and facilitating efficient workflows.

generative-ai-cdk-constructs
The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.

stm32ai-modelzoo
The STM32 AI model zoo is a collection of reference machine learning models optimized to run on STM32 microcontrollers. It provides a large collection of application-oriented models ready for re-training, scripts for easy retraining from user datasets, pre-trained models on reference datasets, and application code examples generated from user AI models. The project offers training scripts for transfer learning or training custom models from scratch. It includes performances on reference STM32 MCU and MPU for float and quantized models. The project is organized by application, providing step-by-step guides for training and deploying models.

blog
This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

DiffusionToolkit
Diffusion Toolkit is an image metadata-indexer and viewer for AI-generated images. It helps you organize, search, and sort your ever-growing collection. Key features include: - Scanning images and storing prompts and other metadata (PNGInfo) - Searching for images using simple queries or filters - Viewing images and metadata easily - Tagging images with favorites, ratings, and NSFW flags - Sorting images by date created, aesthetic score, or rating - Auto-tagging NSFW images by keywords - Blurring images tagged as NSFW - Creating and managing albums - Viewing and searching prompts - Drag-and-drop functionality Diffusion Toolkit supports various image formats, including JPG/JPEG, PNG, WebP, and TXT metadata. It also supports metadata formats from popular AI image generators like AUTOMATIC1111, InvokeAI, NovelAI, Stable Diffusion, and more. You can use Diffusion Toolkit even on images without metadata and still enjoy features like rating and album management.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

aika
AIKA (Artificial Intelligence for Knowledge Acquisition) is a new type of artificial neural network designed to mimic the behavior of a biological brain more closely and bridge the gap to classical AI. The network conceptually separates activations from neurons, creating two separate graphs to represent acquired knowledge and inferred information. It uses different types of neurons and synapses to propagate activation values, binding signals, causal relations, and training gradients. The network structure allows for flexible topology and supports the gradual population of neurons and synapses during training.

nuxt-llms
Nuxt LLMs automatically generates llms.txt markdown documentation for Nuxt applications. It provides runtime hooks to collect data from various sources and generate structured documentation. The tool allows customization of sections directly from nuxt.config.ts and integrates with Nuxt modules via the runtime hooks system. It generates two documentation formats: llms.txt for concise structured documentation and llms_full.txt for detailed documentation. Users can extend documentation using hooks to add sections, links, and metadata. The tool is suitable for developers looking to automate documentation generation for their Nuxt applications.

llmware
LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.
20 - OpenAI Gpts

Accio Answers
Enter the wizarding world's ultimate test of knowledge with our Harry Potter Trivia Challenge, where only the truest fans dare to unravel the most obscure spells, unravel mysteries, and emerge as the undisputed Hogwarts trivia champion.

Gamertag Generator
Gamertag Generator: I'm an expert at creating unique, catchy gamertags tailored to your gaming style!

Organizer Grandma
A wise, warm GPT with skills in organizing, like a doting grandma. Just send a pic