Best AI tools for< Find Things To Do >
20 - AI tool Sites
Wanderboat AI
Wanderboat AI is an intelligent trip planner that helps users find restaurants, attractions, and events in minutes. By leveraging artificial intelligence, the application provides personalized recommendations based on user preferences and interests. Users can easily plan their trips, discover new places, and create memorable experiences with Wanderboat AI.
JourneyPlan
JourneyPlan is an AI-powered travel planning platform that creates personalized trip plans based on your interests, preferences, and budget. It uses cutting-edge AI technology to optimize every aspect of your trip, from activities and dining to transportation and accommodations. With JourneyPlan, you can rest assured that every detail of your trip has been carefully planned with you in mind. And the best part? It's completely free!
Nomadspot
Nomadspot is an intelligent travel planner application that simplifies the planning and organization of adventures. It allows users to organize trips with friends, create calendars, follow daily trip itineraries, share experiences, and use AI to create perfect trips.
PlanTripAI
PlanTripAI is an AI-powered trip planning tool that helps users create customized itineraries based on their interests, preferences, and budget. The tool uses a vast library of cities, guides, and itineraries to generate automated itineraries that can be previewed, downloaded, and shared. PlanTripAI offers a variety of trip preferences to choose from, including city exploration, cultural immersion, nature exploration, food discovery, nightlife, photography, luxury travel, relaxation, backpacking, experience seeking, and active travel. Users can also specify their budget and preferred transportation options. PlanTripAI's itineraries are fully owned by the user, including selling rights and copyright.
AMBLR
AMBLR is a free travel planner that uses AI to create personalized vacation recommendations based on your preferences. With AMBLR, you can easily find things to do in any city, add places you want to visit, select your budget, and choose your interests. AMBLR will then generate a customized itinerary for you, complete with suggested activities, restaurants, and accommodations.
Roamify
Roamify is a free AI-powered travel itinerary planner that helps you create personalized and optimized travel plans. With Roamify, you can easily plan your trip, find the best deals on flights and accommodations, and get recommendations on things to do and see. Roamify's AI technology analyzes your preferences, travel style, and budget to create an itinerary that is tailored to your specific needs.
Travel Buddy AI
Travel Buddy AI is an AI-powered travel assistant that helps users plan their trips efficiently. It provides information on things to do, attractions, itineraries, accommodations, and new destinations. Users can also access referenced travel blog posts to learn more about specific topics. The tool aims to simplify the trip planning process and enhance the overall travel experience.
Unreal Images
Unreal Images is a website that provides free AI-generated images and photos. The images are shared by creators worldwide and can be used for a variety of purposes, including personal projects, commercial projects, and educational purposes. The website has a wide variety of images to choose from, including images of animals, people, places, and things. The images are high-quality and can be downloaded for free. The website also has a number of features that make it easy to find the images you need, including a search bar, a filter system, and a collection system.
SwiftieGPT
SwiftieGPT is an AI tool designed to provide detailed information about Taylor Swift based on publicly available data. Users can ask questions in a clear and concise manner and receive responses related to various aspects of Taylor Swift's life and career, such as tour dates, song lyrics, awards, and more. The tool aims to offer Swifties a comprehensive source of information about their favorite artist, Taylor Swift.
Answerthis
Answerthis is an AI-powered Q&A platform that connects users with experts in various fields. It allows users to ask questions and receive personalized answers from a global community of experts. Answerthis covers a wide range of topics, including business, technology, science, health, and more. The platform is designed to be user-friendly and accessible, making it easy for anyone to find the information they need.
AcademicID
AcademicID is an AI-powered platform that helps students and researchers discover and access academic resources. It provides a comprehensive database of academic papers, journals, and other resources, as well as tools to help users organize and manage their research. AcademicID also offers a variety of features to help users collaborate with others and share their research findings.
Beloga
Beloga is a knowledge operating system (OS) for teams that instantly unifies tools and information, boosting productivity through seamless collaboration and real-time search. It uses AI to deliver precise, actionable insights from team data, enabling quick, informed decision-making. Beloga streamlines team workflows into a single platform, eliminating app-switching and enhancing collaboration and efficiency. It also offers multi-source integration, allowing users to easily compare and integrate data from multiple sources, revealing hidden insights. Beloga's features include hyper-contextualized key insights, seamless integration, cross-referencing made easy, and instant access to the information you need.
Poly
Poly is a next-generation intelligent cloud storage platform that is built for the generative age. It offers a better cloud hosting service for your personal files, with features such as AI-enabled multimodal search, customizable layouts, dynamic collections, and one-click asset conversion. Poly is also designed to support outputs from your preferred generative AI models, including Automatic1111, ComfyUI, DALL-E, and Midjourney. With Poly, you can browse, manage, and navigate all your media generated by AI, and seamlessly connect and auto-import your files from your favorite apps.
AI-PRO
AI-PRO.org is an artificial intelligence resource website that serves as the ultimate destination for learning and discovering all things AI. From the latest technologies and trends to expert insights and resources, users can find everything they need to maximize their AI knowledge and skills. Whether beginners or professionals, AI-PRO covers a wide range of AI topics, including image AI, AI chatbots, AI text generators, and much more, catering to a diverse audience seeking to enhance their understanding and proficiency in artificial intelligence.
Summarify
Summarify is an iOS app that uses AI to summarize YouTube videos. It offers a range of summary styles, including simple, bullet points, and detailed formats, allowing users to tailor the summaries to their specific needs. Summarify also includes features such as video timestamps, chapter summaries, custom summaries, video searching, time savings tracker, and export summaries. The app is powered by ChatGPT and OpenAI, which ensures the accuracy and coherence of the summaries.
Wolfram|Alpha
Wolfram|Alpha is a computational knowledge engine that answers questions using data, algorithms, and artificial intelligence. It can perform calculations, generate graphs, and provide information on a wide range of topics, including mathematics, science, history, and culture. Wolfram|Alpha is used by students, researchers, and professionals around the world to solve problems, learn new things, and make informed decisions.
OCU AI
OCU AI is a self-learning tool that helps you track your learning, earn badges for consuming educational content, and share your skills with the world. With OCU AI, you can keep track of all the things you learn online, get recognized for your learning, and showcase your skills to potential employers or clients.
GPT Twitter Bot
GPT Twitter Bot is an AI tool that generates bios for Twitter profiles using the GPT model. Users can input a prompt, and the tool will generate a unique bio based on the input. The tool leverages AI technology to create engaging and personalized bios for Twitter users, saving them time and effort in crafting their profiles.
Dippy
Dippy is an AI-powered chatbot app that provides users with personalized AI companions. Users can choose from a variety of AI companions, each with their own unique personality and interests. Dippy can be used for a variety of purposes, including companionship, therapy, and dating. The app is available for download on the App Store.
Find AI
Find AI is an AI-powered search engine that provides users with advanced search capabilities to unlock contact details and gain more accurate insights. The platform caters to individuals and companies looking to research people, companies, startups, founders, and more. Users can access email addresses and premium search features to explore a wide range of data related to various industries and sectors. Find AI offers a user-friendly interface and efficient search algorithms to deliver relevant results in a timely manner.
20 - Open Source AI Tools
WeeaBlind
Weeablind is a program that uses modern AI speech synthesis, diarization, language identification, and voice cloning to dub multi-lingual media and anime. It aims to create a pleasant alternative for folks facing accessibility hurdles such as blindness, dyslexia, learning disabilities, or simply those that don't enjoy reading subtitles. The program relies on state-of-the-art technologies such as ffmpeg, pydub, Coqui TTS, speechbrain, and pyannote.audio to analyze and synthesize speech that stays in-line with the source video file. Users have the option of dubbing every subtitle in the video, setting the start and end times, dubbing only foreign-language content, or full-blown multi-speaker dubbing with speaking rate and volume matching.
bugbug
Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.
openkore
OpenKore is a custom client and intelligent automated assistant for Ragnarok Online. It is a free, open source, and cross-platform program (Linux, Windows, and MacOS are supported). To run OpenKore, you need to download and extract it or clone the repository using Git. Configure OpenKore according to the documentation and run openkore.pl to start. The tool provides a FAQ section for troubleshooting, guidelines for reporting issues, and information about botting status on official servers. OpenKore is developed by a global team, and contributions are welcome through pull requests. Various community resources are available for support and communication. Users are advised to comply with the GNU General Public License when using and distributing the software.
clapper
Clapper is an open-source AI story visualization tool that can interpret screenplays and render them into storyboards, videos, voice, sound, and music. It is currently in early development stages and not recommended for general use due to some non-functional features and lack of tutorials. A public alpha version is available on Hugging Face's platform. Users can sponsor specific features through bounties and developers can contribute to the project under the GPL v3 license. The tool lacks automated tests and code conventions like Prettier or a Linter.
obs-urlsource
The URL/API Source is a plugin for OBS Studio that allows users to add a media source fetching data from a URL or API endpoint and displaying it as text. It supports input and output templating, various request types, output parsing (JSON, XML/HTML, Regex, CSS selectors), live data updating, output styling, and formatting. Future features include authentication, websocket support, more parsing options, request types, and output formats. The plugin is cross-platform compatible and actively maintained by the developer. Users can support the project on GitHub.
chatgpt-universe
ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher
HuggingFaceGuidedTourForMac
HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.
Synthalingua
Synthalingua is an advanced, self-hosted tool that leverages artificial intelligence to translate audio from various languages into English in near real time. It offers multilingual outputs and utilizes GPU and CPU resources for optimized performance. Although currently in beta, it is actively developed with regular updates to enhance capabilities. The tool is not intended for professional use but for fun, language learning, and enjoying content at a reasonable pace. Users must ensure speakers speak clearly for accurate translations. It is not a replacement for human translators and users assume their own risk and liability when using the tool.
aif
Arno's Iptables Firewall (AIF) is a single- & multi-homed firewall script with DSL/ADSL support. It is a free software distributed under the GNU GPL License. The script provides a comprehensive set of configuration files and plugins for setting up and managing firewall rules, including support for NAT, load balancing, and multirouting. It offers detailed instructions for installation and configuration, emphasizing security best practices and caution when modifying settings. The script is designed to protect against hostile attacks by blocking all incoming traffic by default and allowing users to configure specific rules for open ports and network interfaces.
azure-search-openai-javascript
This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.
VedAstro
VedAstro is an open-source Vedic astrology tool that provides accurate astrological predictions and data. It offers a user-friendly website, a chat API, an open API, a JavaScript SDK, a Swiss Ephemeris API, and a machine learning table generator. VedAstro is free to use and is constantly being updated with new features and improvements.
ain
Ain is a terminal HTTP API client designed for scripting input and processing output via pipes. It allows flexible organization of APIs using files and folders, supports shell-scripts and executables for common tasks, handles url-encoding, and enables sharing the resulting curl, wget, or httpie command-line. Users can put things that change in environment variables or .env-files, and pipe the API output for further processing. Ain targets users who work with many APIs using a simple file format and uses curl, wget, or httpie to make the actual calls.
eval-dev-quality
DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.
kafka-ml
Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.
evaluation-guidebook
The LLM Evaluation guidebook provides comprehensive guidance on evaluating language model performance, including different evaluation methods, designing evaluations, and practical tips. It caters to both beginners and advanced users, offering insights on model inference, tokenization, and troubleshooting. The guide covers automatic benchmarks, human evaluation, LLM-as-a-judge scenarios, troubleshooting practicalities, and general knowledge on LLM basics. It also includes planned articles on automated benchmarks, evaluation importance, task-building considerations, and model comparison challenges. The resource is enriched with recommended links and acknowledgments to contributors and inspirations.
deepdoctection
**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.
WDoc
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.
11 - OpenAI Gpts
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Singapore Explorer
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Master Itinerary Planner
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Mystery Jetsetter Plus
Dynamic travel planner with interactive, immersive, and unique global insights.
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Discover the best of Bangkok with our AI-powered guide! Personalized, up-to-date recommendations from trusted sources to enhance your Bangkok experience.