Best AI tools for< Civil Service Examiner >

Opteam is a construction planning and scheduling software that transforms static plans into dynamic strategies, accelerating project timelines and ensuring efficient, on-time construction delivery. It offers industry-specific AI tools to streamline operations, enhance decision-making, and boost productivity. With a team of AI enthusiasts, civil engineers, and website designers, Opteam combines advanced AI with deep industry expertise to create sustainable solutions for managing building and infrastructure lifecycles.

Constructable is an AI Co-Pilot tool designed for the construction industry. It helps users track down project information efficiently by pulling together documents and communication from various sources. The tool offers centralized project data, AI-powered insights, real-time data sync, and seamless integration with existing software systems. Constructable ensures data traceability and helps users avoid costly mistakes by providing accurate and up-to-date information.

RealEngineers is an innovative AI-powered job platform that revolutionizes the engineering hiring process. Unlike traditional job sites, it focuses on detailed project-based profiles instead of resumes, leveraging AI to match skills and experiences with job requirements. Employers can evaluate candidates quickly and fairly, while candidates can showcase their authenticity and detailed projects to stand out. The platform aims to provide a level playing field for all candidates and help bridge the gap between talent and opportunity in the engineering industry.

FYLD is an award-winning digital platform that utilizes machine learning to automatically transform video and audio footage into real-time workflows, video risk assessments, and analytics dashboards. It aims to eliminate paperwork, save time, and create safer work sites for various sectors such as Highways, Energy, Water, and Wastewater. FYLD helps managers prioritize high-risk sites, reduces paperwork, and enhances efficiency by providing remote visibility of site conditions. The platform empowers fieldworkers, contractors, and civil engineers by streamlining job processes, improving safety measures, and minimizing environmental impact.

Pointly is an intelligent, cloud-based B2B software solution that enables efficient automatic and advanced manual classification in 3D point clouds. It offers innovative AI techniques for fast and precise data classification and vectorization, transforming point cloud analysis into an enjoyable and efficient workflow. Pointly provides standard and custom classifiers, tools for classification and vectorization, API and on-premise classification options, collaboration features, secure cloud processing, and scalability for handling large-scale point cloud data.

AI Clearing is an AI-powered construction progress monitoring tool that specializes in digital field construction progress tracking. The platform leverages machine learning technology to streamline progress monitoring by integrating drone-captured data and executing automated 4D geospatial analytics. AI Clearing offers comprehensive 3D site reports, actionable insights through interactive dashboards, and seamless data integration with existing systems. The tool benefits construction companies by providing faster reporting cycles, cost reduction, early discrepancies detection, facilitated communication, and operations planning.

The Future of Privacy Forum (FPF) is an AI tool that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. It provides resources, training sessions, and guidance on AI-related topics, online advertising, youth privacy legislation, and more. FPF brings together industry, academics, civil society, policymakers, and other stakeholders to explore challenges posed by emerging technologies and develop privacy protections, ethical norms, and best practices.

Civitai is the home of open-source generative AI, offering a platform where users can create various digital content such as models, images, videos, posts, and articles. The platform fosters creativity and inspiration by providing a virtual canvas for users to express themselves artistically. Additionally, Civitai hosts contests, showcases community creations, and provides educational resources for users to enhance their skills in generative AI.

The100kPrompts is an AI tool that offers a comprehensive database of over 100k AI prompts covering various niches. It provides users with daily premium prompts for a single one-time payment, ensuring lifetime updates. The tool is designed to enhance productivity, save time, and improve work quality by offering a wide range of AI prompts for different purposes.

The US Citizenship Practice Exam is a website designed to help users study for the US naturalization test. The site provides a practice exam with 100 questions, graded by an AI created by OpenAI. Users need to answer 6 out of 10 questions correctly to pass the actual test, which is an oral test graded by a USCIS officer. The website is created by Evan Conrad and is open source on Github. Users can find the full list of questions and rules on the site.

CitizenPortal.ai is an AI tool designed for informed citizens to access a wide range of government-related information and resources. It provides users with the ability to search and browse through various governmental entities and documents, including Congress, Federal Reserve, Supreme Court, NASA, and more. The platform serves as a comprehensive portal for individuals interested in politics and government affairs, offering features such as GPT-based assistance, access to Congressional hearings, executive orders, and the Federalist Papers. CitizenPortal.ai aims to empower users with knowledge and facilitate engagement with the political landscape.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Redbox Copilot is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License.

Redbox is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License. Security measures are in place to ensure user data privacy and considerations are being made to make the core-api secure.

The airport-codes repository contains a list of airport codes from around the world, including IATA and ICAO codes. The data is sourced from multiple different sources and is updated nightly. The repository provides a script to process the data and merge location coordinates. The data can be used for various purposes such as passenger reservation, ticketing, and ATC systems.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

Delphi OpenAI API is an unofficial library providing Delphi implementation over OpenAI public API. It allows users to access various models, make completions, chat conversations, generate images, and call functions using OpenAI service. The library aims to facilitate tasks such as content generation, semantic search, and classification through AI models. Users can fine-tune models, work with natural language processing, and apply reinforcement learning methods for diverse applications.

ReEdgeGPT is a tool designed for reverse engineering the chat feature of the new version of Bing. It provides documentation and guidance on how to collect and use cookies to access the chat feature. The tool allows users to create a chatbot using the collected cookies and interact with the Bing GPT chatbot. It also offers support for different modes like Copilot and Bing, along with plugins for various tasks. The tool covers historical information about Rome, the Lazio region, and provides troubleshooting tips for common issues encountered while using the tool.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

PyLLMs is a minimal Python library designed to connect to various Language Model Models (LLMs) such as OpenAI, Anthropic, Google, AI21, Cohere, Aleph Alpha, and HuggingfaceHub. It provides a built-in model performance benchmark for fast prototyping and evaluating different models. Users can easily connect to top LLMs, get completions from multiple models simultaneously, and evaluate models on quality, speed, and cost. The library supports asynchronous completion, streaming from compatible models, and multi-model initialization for testing and comparison. Additionally, it offers features like passing chat history, system messages, counting tokens, and benchmarking models based on quality, speed, and cost.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

HEC-Commander Tools is a suite of python notebooks developed with AI assistance for water resource engineering workflows, providing automation for HEC-RAS and HEC-HMS through Jupyter Notebooks. It contains automation scripts for HEC-HMS, HEC-RAS, and DSS, along with miscellaneous tools. The repository also includes blog posts, ChatGPT assistants, and presentations related to H&H modeling and water resources workflows. Developed to support Region 4 of the Louisiana Watershed Initiative by Fenstermaker.

Trainer and reviewer for the Philippine Civil Service Exam.

A virtual assistant for UK civil servants.

An expert on the Indian Administrative Service, offering guidance on exams and careers.

我是一个经验丰富的行政类公务员。

Simulates a UPSC Civil Services Exam Interviewer with a balanced, professional, and supportive demeanor.

Asistente en el Código Civil de España

Civil Engineering expert

Premier expert in engineering, architecture, design, construction, and project management, powered by OpenAI

Robô treinado para esclarecer dúvidas sobre o Código de Processo Civil brasileiro

Especialista em teses e dissertações de Engenharia Civil

Engenheiro Civil Sênior, sotaque baiano, humorístico, cria cronogramas de construção.

Get knowledge on Indian Civil, Criminal, and Motor Vehicle Laws.

I engage in civil, firm debates.

Legal support, Citing civil and criminal law documents---Taageerada sharciga, tixraacaya dukumentiyada sharciga madaniga iyo dembiyada --- SOMALIA

A casual, engaging guide on Martin Luther King Jr. and civil rights.

Legal support, Citing civil and criminal law documents --- GRENADA

Nigeria--Legal support, Citing civil and criminal law documents ---

Switzerland, Accompagnement juridique, Citation de documents de droit civil et pénal --- Rechtliche Unterstützung, Zitierung zivil- und strafrechtlicher Dokumente ---

Pakistan, Legal support, Citing civil and criminal law documents --- قانونی معاونت، دیوانی اور فوجداری قانون کی دستاویزات کا حوالہ دیتے ہوئے ---

محدث بآخر القوانين واللوائح المصرية (تحت التجربه)