Best AI tools for< Open Data Advocate >
Infographic
20 - AI tool Sites
![Open Data Science Screenshot](/screenshots/ods.ai.jpg)
Open Data Science
Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.
![Climate Policy Radar Screenshot](/screenshots/climatepolicyradar.org.jpg)
Climate Policy Radar
Climate Policy Radar is an AI-powered application that serves as a live, searchable database containing over 5,000 national climate laws, policies, and UN submissions. The app aims to organize, analyze, and democratize climate data by providing open data, code, and machine learning models. It promotes a responsible approach to AI, fosters a climate NLP community, and offers an API for organizations to utilize the data. The tool addresses the challenge of sparse and siloed climate-related information, empowering decision-makers with evidence-based policies to accelerate climate action.
![Cordel Connect Screenshot](/screenshots/cordel.ai.jpg)
Cordel Connect
Cordel Connect is an open-data inspection management platform that enables the storage, management, visualization, and intelligent analysis of railway inspection data. It offers powerful, precise, unattended sensing systems and data workflows to help railways automate high-frequency, high-precision inspections from any rail vehicle. The platform consolidates all survey and inspection data into a single source of truth, eliminating data silos and integrating with existing systems. Cordel Connect utilizes powerful AI to automate the infrastructure inspection process, delivering improved inspection insights and compliance. It also provides modules for managing surveys, asset inspections, and safety compliance assessments tailored to network standards.
![Ex Libris Products & Services Screenshot](/screenshots/exlibrisgroup.com.jpg)
Ex Libris Products & Services
The website is a comprehensive platform offering a suite of software solutions for library management, research, teaching, and learning in the higher education ecosystem. It leverages generative AI, linked open data, and conversational discovery to optimize operations, integration, personalized experiences, and analytic insights. The platform includes various products and services such as Alma, Primo, Leganto, Rapido, Rosetta, and campusM, catering to the unique needs of academic institutions, libraries, and technology powerhouses. The website features success stories, customer testimonials, webinars, learning resources, and community engagement initiatives.
![UPTO3 Screenshot](/screenshots/upto3.xyz.jpg)
UPTO3
UPTO3 is a decentralized event knowledge graph protocol that aims to provide consensus verification for Web3 events. It turns events into NFTs, allowing users to mint and verify events while being rewarded based on the results. The platform promotes open data, transparency, and unbiased analysis through economic incentives. UPTO3 will be built on Blast(L2) and offers features such as event minting as NFTs, decentralized verification tasks, and gas rewards for validators. The project launch is scheduled to coincide with the mainnet launch of Blast in February, following the testnet launch in January.
![Rapid Editor Screenshot](/screenshots/rapideditor.org.jpg)
Rapid Editor
Rapid Editor is an advanced mapping tool that revolutionizes map editing by integrating cutting-edge technology and authoritative geospatial open data. It empowers OpenStreetMap mappers to make accurate and fresh edits quickly at all levels. The tool saves effort by tapping into open data and using artificial intelligence to identify map features. It provides AI-analyzed satellite imagery for a high-level overview of unmapped areas globally, and displays open map data and machine learning detections to facilitate mapping projects for humanitarian and community groups.
![Rapid Editor Screenshot](/screenshots/mapwith.ai.jpg)
Rapid Editor
Rapid Editor is an advanced map editing tool that revolutionizes map editing by integrating cutting-edge technology and authoritative geospatial open data. It empowers OpenStreetMap mappers of all levels to make accurate and fresh edits quickly. The tool saves effort by utilizing artificial intelligence to identify features and analyze satellite imagery, providing a high-level overview of unmapped areas globally. Rapid's intuitive user interface simplifies mapping, making it clear and simple for humanitarian and community groups to facilitate mapping projects.
![Qubinets Screenshot](/screenshots/qubinets.com.jpg)
Qubinets
Qubinets is a cloud data environment solutions platform that provides building blocks for building big data, AI, web, and mobile environments. It is an open-source, no lock-in, secured, and private platform that can be used on any cloud, including AWS, Digital Ocean, Google Cloud, and Microsoft Azure. Qubinets makes it easy to plan, build, and run data environments, and it streamlines and saves time and money by reducing the grunt work in setup and provisioning.
![Alluxio Screenshot](/screenshots/alluxio.io.jpg)
Alluxio
Alluxio is a data orchestration platform designed for the cloud, offering seamless access, management, and running of AI/ML workloads. Positioned between compute and storage, Alluxio provides a unified solution for enterprises to handle data and AI tasks across diverse infrastructure environments. The platform accelerates model training and serving, maximizes infrastructure ROI, and ensures seamless data access. Alluxio addresses challenges such as data silos, low performance, data engineering complexity, and high costs associated with managing different tech stacks and storage systems.
![Posit Screenshot](/screenshots/rstudio.com.jpg)
Posit
Posit is an open-source data science company that provides a suite of tools and services for data scientists. Its products include the RStudio IDE, Shiny, and Posit Connect. Posit also offers cloud-based solutions and enterprise support. The company's mission is to make data science accessible to everyone, regardless of their economic means or technical expertise.
![CVAT Screenshot](/screenshots/cvat.ai.jpg)
CVAT
CVAT is an open-source data annotation platform that helps teams of any size annotate data for machine learning. It is used by companies big and small in a variety of industries, including healthcare, retail, and automotive. CVAT is known for its intuitive user interface, advanced features, and support for a wide range of data formats. It is also highly extensible, allowing users to add their own custom features and integrations.
![DagsHub Screenshot](/screenshots/dagshub.com.jpg)
DagsHub
DagsHub is an open source data science collaboration platform that helps AI teams build better models and manage data projects. It provides a central location for data, code, experiments, and models, making it easy for teams to collaborate and track their progress. DagsHub also integrates with a variety of popular data science tools and frameworks, making it a powerful tool for data scientists and machine learning engineers.
![Trifacta API Documentation Screenshot](/screenshots/api.trifacta.com.jpg)
Trifacta API Documentation
Trifacta API Documentation provides reference information on all of the available endpoints for each product edition. This website does not factor disabled features or your specific account permissions. To review API documentation for the endpoints to which your account has access, please select Help menu > API Documentation from the Trifacta application menu.
![HingeGPT Screenshot](/screenshots/hingegpt.com.jpg)
HingeGPT
HingeGPT is an AI tool designed to generate mediocre opening lines for the dating app Hinge. Users can upload screenshots for beta testing or try out the tool directly on the website. The tool ensures user privacy by not storing any generated data and only sending data to Open AI. HingeGPT was built by the Natto boys.
![Dot Analytics Screenshot](/screenshots/dotanalytics.ai.jpg)
Dot Analytics
Dot Analytics is a growth-focused data analytics agency that offers a wide range of services including data analytics, data engineering, data visualization, data science, big data analytics, AI consulting, and more. They specialize in providing analytics solutions for data-driven business managers seeking accuracy, statistics, and data to drive revenue growth. With over 6 years of experience, they offer tailored analytics solutions to optimize customer acquisition cost, lifetime value, average order value, and conversions. Dot Analytics partners with clients from various industries to provide transparent, maintenance, and optimization services.
![Overwatch Data Screenshot](/screenshots/overwatchdata.ai.jpg)
Overwatch Data
Overwatch Data is a comprehensive intelligence platform that offers real-time, global understanding for cyber, fraud, security, supply chain, and market intelligence needs. The platform provides concise, actionable insights tailored to specific requirements, cutting through noise to deliver crucial information efficiently. Users can customize monitoring for various categories, access intuitive data visualizations, receive real-time executive summaries, and engage in free-form chat with news data. Overwatch Data aims to streamline intelligence processes and empower teams with valuable insights.
![Open Agent Studio Screenshot](/screenshots/openagent.studio.jpg)
Open Agent Studio
Open Agent Studio is a powerful no-code agent editor that introduces new automation concepts like Semantic Targets and Semantic Triggers in simple language, enabling the creation of future-proof agents that are robust to design changes. It is designed to target markets untouched by AI, offering subscribers a free 4-week course to launch custom agents with enterprise-grade white label. The tool includes an Agent Recorder for easy building of agents by recording keyboard and mouse actions, scraping data, and detecting the start node. Open Agent Studio is powered by Cheat Layer, a platform that leverages GPT-3 for automation and aims to democratize access to AI for rebuilding businesses online.
![DVC Screenshot](/screenshots/dvc.org.jpg)
DVC
DVC is an open-source version control system for machine learning projects. It allows users to track and manage their data, models, and code in a single place. DVC also provides a number of features that make it easy to collaborate on machine learning projects, such as experiment tracking, model registration, and pipeline management.
![Open Interpreter Project Screenshot](/screenshots/openinterpreter.com.jpg)
Open Interpreter Project
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.
![OpenBuckets Screenshot](/screenshots/openbuckets.io.jpg)
OpenBuckets
OpenBuckets is a web application designed to help users find and secure open buckets in cloud storage systems. It provides a simple and efficient way to identify and protect sensitive data that may be exposed due to misconfigurations in cloud storage settings. With OpenBuckets, users can easily scan their cloud storage accounts for publicly accessible buckets and take necessary actions to enhance data security.
20 - Open Source Tools
![LLM-Geo Screenshot](/screenshots_githubs/gladcolor-LLM-Geo.jpg)
LLM-Geo
LLM-Geo is an AI-powered geographic information system (GIS) that leverages Large Language Models (LLMs) for automatic spatial data collection, analysis, and visualization. By adopting LLM as the reasoning core, it addresses spatial problems with self-generating, self-organizing, self-verifying, self-executing, and self-growing capabilities. The tool aims to make spatial analysis easier, faster, and more accessible by reducing manual operation time and delivering accurate results through case studies. It uses GPT-4 API in a Python environment and advocates for further research and development in autonomous GIS.
![generative-ai-for-beginners Screenshot](/screenshots_githubs/microsoft-generative-ai-for-beginners.jpg)
generative-ai-for-beginners
This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |
![starcoder2-self-align Screenshot](/screenshots_githubs/bigcode-project-starcoder2-self-align.jpg)
starcoder2-self-align
StarCoder2-Instruct is an open-source pipeline that introduces StarCoder2-15B-Instruct-v0.1, a self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. It generates instruction-response pairs to fine-tune StarCoder-15B without human annotations or data from proprietary LLMs. The tool is primarily finetuned for Python code generation tasks that can be verified through execution, with potential biases and limitations. Users can provide response prefixes or one-shot examples to guide the model's output. The model may have limitations with other programming languages and out-of-domain coding tasks.
![ASTRA.ai Screenshot](/screenshots_githubs/rte-design-ASTRA.ai.jpg)
ASTRA.ai
ASTRA is an open-source platform designed for developing applications utilizing large language models. It merges the ideas of Backend-as-a-Service and LLM operations, allowing developers to swiftly create production-ready generative AI applications. Additionally, it empowers non-technical users to engage in defining and managing data operations for AI applications. With ASTRA, you can easily create real-time, multi-modal AI applications with low latency, even without any coding knowledge.
![Devon Screenshot](/screenshots_githubs/entropy-research-Devon.jpg)
Devon
Devon is an open-source pair programmer tool designed to facilitate collaborative coding sessions. It provides features such as multi-file editing, codebase exploration, test writing, bug fixing, and architecture exploration. The tool supports Anthropic, OpenAI, and Groq APIs, with plans to add more models in the future. Devon is community-driven, with ongoing development goals including multi-model support, plugin system for tool builders, self-hostable Electron app, and setting SOTA on SWE-bench Lite. Users can contribute to the project by developing core functionality, conducting research on agent performance, providing feedback, and testing the tool.
![MISSING-PERSONS-DATABASE-2024-KENYA-FINANCE-BILL-PROTESTS- Screenshot](/screenshots_githubs/Joymutheu-dev-MISSING-PERSONS-DATABASE-2024-KENYA-FINANCE-BILL-PROTESTS-.jpg)
MISSING-PERSONS-DATABASE-2024-KENYA-FINANCE-BILL-PROTESTS-
The Missing Persons 2024 Antifinance Bill Demonstrations Kenya database is an AI-powered platform designed to track and identify individuals who have gone missing during the ongoing protests. It aims to assist in reuniting families by providing a centralized online resource for all Kenyans. The platform allows for crowdsourced information upload, monitoring disappearances, and tracking unidentified bodies to create a comprehensive database. Key features include a user-friendly interface, AI-powered search, real-time updates, secure handling of data, and detailed reporting.
![hal9 Screenshot](/screenshots_githubs/hal9ai-hal9.jpg)
hal9
Hal9 is a tool that allows users to create and deploy generative applications such as chatbots and APIs quickly. It is open, intuitive, scalable, and powerful, enabling users to use various models and libraries without the need to learn complex app frameworks. With a focus on AI tasks like RAG, fine-tuning, alignment, and training, Hal9 simplifies the development process by skipping engineering tasks like frontend development, backend integration, deployment, and operations.
![whisper Screenshot](/screenshots_githubs/azkadev-whisper.jpg)
whisper
Whisper is an open-source library by Open AI that converts/extracts text from audio. It is a cross-platform tool that supports real-time transcription of various types of audio/video without manual conversion to WAV format. The library is designed to run on Linux and Android platforms, with plans for expansion to other platforms. Whisper utilizes three frameworks to function: DART for CLI execution, Flutter for mobile app integration, and web/WASM for web application deployment. The tool aims to provide a flexible and easy-to-use solution for transcription tasks across different programs and platforms.
![monitors4codegen Screenshot](/screenshots_githubs/microsoft-monitors4codegen.jpg)
monitors4codegen
This repository hosts the official code and data artifact for the paper 'Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context'. It introduces Monitor-Guided Decoding (MGD) for code generation using Language Models, where a monitor uses static analysis to guide the decoding. The repository contains datasets, evaluation scripts, inference results, a language server client 'multilspy' for static analyses, and implementation of various monitors monitoring for different properties in 3 programming languages. The monitors guide Language Models to adhere to properties like valid identifier dereferences, correct number of arguments to method calls, typestate validity of method call sequences, and more.
![LLMAgentPapers Screenshot](/screenshots_githubs/zjunlp-LLMAgentPapers.jpg)
LLMAgentPapers
LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.
![RPG-DiffusionMaster Screenshot](/screenshots_githubs/YangLing0818-RPG-DiffusionMaster.jpg)
RPG-DiffusionMaster
This repository contains the official implementation of RPG, a powerful training-free paradigm for text-to-image generation and editing. RPG utilizes proprietary or open-source MLLMs as prompt recaptioner and region planner with complementary regional diffusion. It achieves state-of-the-art results and can generate high-resolution images. The codebase supports diffusers and various diffusion backbones, including SDXL and SD v1.4/1.5. Users can reproduce results with GPT-4, Gemini-Pro, or local MLLMs like miniGPT-4. The repository provides tools for quick start, regional diffusion with GPT-4, and regional diffusion with local LLMs.
![AGI-Papers Screenshot](/screenshots_githubs/gyunggyung-AGI-Papers.jpg)
AGI-Papers
This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**
![AugmentOS Screenshot](/screenshots_githubs/TeamOpenSmartGlasses-AugmentOS.jpg)
AugmentOS
Convoscope is a suite of smart glasses and web tools designed to augment conversations by providing live proactive agents that answer questions, offer definitions, insights, and alternative viewpoints. It includes features like 'Mira' AI Assistant, Convoscope Proactive AI Agents, Language Learning app, Screen Mirror functionality, and upcoming features such as Live Captions, ADHD Glasses, and Live Language Translation. The tool supports various smart glasses models and Android 12+ phones, offering a unique experience for real-life conversations, meetings, and video calls.
![lsp-ai Screenshot](/screenshots_githubs/SilasMarvin-lsp-ai.jpg)
lsp-ai
LSP-AI is an open source language server designed to enhance software engineers' productivity by integrating AI-powered functionality into various text editors. It serves as a backend for completion with large language models and offers features like unified AI capabilities, simplified plugin development, enhanced collaboration, broad compatibility with editors supporting Language Server Protocol, flexible LLM backend support, and commitment to staying updated with the latest advancements in LLM-driven software development. The tool aims to centralize open-source development work, provide a collaborative platform for developers, and offer a future-ready solution for AI-powered assistants in text editors.
![moatless-tools Screenshot](/screenshots_githubs/aorwall-moatless-tools.jpg)
moatless-tools
Moatless Tools is a hobby project focused on experimenting with using Large Language Models (LLMs) to edit code in large existing codebases. The project aims to build tools that insert the right context into prompts and handle responses effectively. It utilizes an agentic loop functioning as a finite state machine to transition between states like Search, Identify, PlanToCode, ClarifyChange, and EditCode for code editing tasks.
![functionary Screenshot](/screenshots_githubs/MeetKai-functionary.jpg)
functionary
Functionary is a language model that interprets and executes functions/plugins. It determines when to execute functions, whether in parallel or serially, and understands their outputs. Function definitions are given as JSON Schema Objects, similar to OpenAI GPT function calls. It offers documentation and examples on functionary.meetkai.com. The newest model, meetkai/functionary-medium-v3.1, is ranked 2nd in the Berkeley Function-Calling Leaderboard. Functionary supports models with different context lengths and capabilities for function calling and code interpretation. It also provides grammar sampling for accurate function and parameter names. Users can deploy Functionary models serverlessly using Modal.com.
![can-ai-code Screenshot](/screenshots_githubs/the-crypt-keeper-can-ai-code.jpg)
can-ai-code
Can AI Code is a self-evaluating interview tool for AI coding models. It includes interview questions written by humans and tests taken by AI, inference scripts for common API providers and CUDA-enabled quantization runtimes, a Docker-based sandbox environment for validating untrusted Python and NodeJS code, and the ability to evaluate the impact of prompting techniques and sampling parameters on large language model (LLM) coding performance. Users can also assess LLM coding performance degradation due to quantization. The tool provides test suites for evaluating LLM coding performance, a webapp for exploring results, and comparison scripts for evaluations. It supports multiple interviewers for API and CUDA runtimes, with detailed instructions on running the tool in different environments. The repository structure includes folders for interviews, prompts, parameters, evaluation scripts, comparison scripts, and more.
![codecompanion.nvim Screenshot](/screenshots_githubs/olimorris-codecompanion.nvim.jpg)
codecompanion.nvim
CodeCompanion.nvim is a Neovim plugin that provides a Copilot Chat experience, adapter support for various LLMs, agentic workflows, inline code creation and modification, built-in actions for language prompts and error fixes, custom actions creation, async execution, and more. It supports Anthropic, Ollama, and OpenAI adapters. The plugin is primarily developed for personal workflows with no guarantees of regular updates or support. Users can customize the plugin to their needs by forking the project.
20 - OpenAI Gpts
Open Data Italia bot
Fornisce informazioni sulla normativa italiana in materia di open data, con un tono professionale e divulgativo. In modo che sia più facile chiederne e/o pretenderne la pubblicazione.
![Open Source Alternative Screenshot](/screenshots_gpts/g-48KnCx2hR.jpg)
Open Source Alternative
Find open source alternative to any paid service you can think of
![OpenData Explorer Screenshot](/screenshots_gpts/g-1ZBK8qUZ1.jpg)
OpenData Explorer
I'll help you access and understand open data published by central government, local authorities and public bodies. You can ask me in your native language.
![City of Toronto Data Assistant Screenshot](/screenshots_gpts/g-Bg9A5h0uX.jpg)
City of Toronto Data Assistant
Data specialist for Toronto Government Data Platform insights
![Toronto Parks and Rec Bot Screenshot](/screenshots_gpts/g-UhmmS6Psr.jpg)
Toronto Parks and Rec Bot
Helpful Parks and Rec Bot for Toronto, built with Toronto civic open data.
![OpenStreetMap Query Screenshot](/screenshots_gpts/g-Emy7pH8oc.jpg)
OpenStreetMap Query
Helps get map data from Open Street Map by generating Overpass Turbo queries. Ask me for mapping features like cafes, rivers or highways
![AI News Generator Screenshot](/screenshots_gpts/g-DP2XHBGhg.jpg)
AI News Generator
Generates accurate, timely news articles from open-source government data.
![Personal Financial Advisor Screenshot](/screenshots_gpts/g-diD5ttgy2.jpg)
Personal Financial Advisor
This Open AI tool analyzes your financial data, budgets and cashflow and suggests areas of improvement and quick insights. Drop an XLS file here or copy/paste your financial data and get insights! (Your data remains private and creator of this ChatGPT has no access to it).
![CHAT Social Progress Screenshot](/screenshots_gpts/g-jgPf4IlUE.jpg)
CHAT Social Progress
Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.
![ChadGPT Screenshot](/screenshots_gpts/g-IwrzCXpEq.jpg)
ChadGPT
Dr. Tiffany Love's open source AI boyfriend trained on my Ex's training data he collected during our relationship and filtered to be less of a, well you know
![Qtech | FPS Screenshot](/screenshots_gpts/g-GcHJH3VJP.jpg)
Qtech | FPS
Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.