Best AI tools for< Driver >

Waymo is a self-driving car company that develops autonomous vehicles and ride-hailing services. The company's mission is to make it safe and easy for people and things to get where they're going. Waymo's self-driving cars have driven over 20 billion miles on public roads and are considered to be the most experienced autonomous vehicles in the world. Waymo's ride-hailing service, Waymo One, is the world's first fully autonomous ride-hailing service. Waymo One is currently available in Phoenix, San Francisco, Los Angeles, and Austin.

Mobileye is a leading company specializing in driver assist and autonomous driving technologies. With a focus on developing innovative solutions for the automotive industry, Mobileye has revolutionized driver-assist technology by leveraging camera sensors to enhance safety and efficiency in vehicles. The company offers a range of solutions, from cloud-enhanced driver-assist systems to fully autonomous driving capabilities, all designed to provide a seamless and natural driving experience. By developing both hardware and software in-house, Mobileye ensures a safe-by-design approach that prioritizes scalability and efficiency, making their technology accessible to the mass market.

Motional is a company that is developing driverless technology and autonomous vehicles. They are working to make driverless vehicles a safe, reliable, and accessible reality. Motional's all-electric IONIQ 5 robotaxis are now available to public riders in Las Vegas. The company has a strong commitment to safety and is constantly developing new technologies to improve the safety of its vehicles. Motional is also working to make driverless vehicles more accessible by partnering with ride-hail and delivery services.

AtlasNavi.com is an A.I. navigation application that utilizes cutting-edge technologies such as machine learning and blockchain to provide drivers around the world with the best navigation experience. The app offers features like drive-to-earn with licensed vehicle NFTs, real-time traffic information, group trips, 3D vehicle NFTs, dashcam recording, and better routing through A.I. analysis. Users can earn rewards for driving, organize group trips, upgrade their vehicle NFTs, and access maintenance alerts and deals on new vehicles. AtlasNavi aims to revolutionize the navigation experience by combining A.I. technology with innovative features for a seamless driving experience.

Graphite Note is a no-code AI tool that helps businesses transform data into key drivers, predictions, and next-best actions. It is designed to be user-friendly and accessible to businesses of all sizes, even those without a data science team. With Graphite Note, businesses can quickly and easily generate AI models, understand patterns in their data, predict future outcomes, and get actionable insights. This can help businesses make better decisions, improve their operations, and grow their revenue.

Plus is an AI-based autonomous driving software company that focuses on developing solutions for driver assist and autonomous driving technologies. The company offers a suite of autonomous driving solutions designed for integration with various hardware platforms and vehicle types, ranging from perception software to highly automated driving systems. Plus aims to transform the transportation industry by providing high-performance, safe, and affordable autonomous driving vehicles at scale.

The Trip Boutique is an AI-powered platform that helps travel advisors, destinations, and OTAs maximize their productivity and elevate their clients' experiences. The platform provides a range of services, including destination research, curation, hyper-personalization, and 1x1 travel advisory. The Trip Boutique's AI algorithms match travelers with the best-fitting places and activities based on their interests, styles, budgets, and tastes.

Base64.ai is an automated document processing API that offers a leading no-code AI solution for understanding documents, photos, and videos. It provides a comprehensive set of features for document processing across various industries, with a strong focus on accuracy, security, and extensibility. Base64.ai is designed to streamline document automation processes and improve data extraction efficiency.

Sommify is an AI sommelier application designed to help companies sell wine by creating memorable experiences for customers. The application addresses common issues in the wine industry such as customers' preferences, lack of information, and hesitation to ask questions. Sommify leverages AI technology and data analysis to automate wine pairing, generate valuable insights, and assist customers in finding the perfect wine match. Trusted by industry leaders and backed by investors, Sommify aims to revolutionize the wine purchasing experience through personalized recommendations and tailored solutions.

UniqMail is an AI-powered email personalization tool that helps you create and send personalized emails at scale. With UniqMail, you can create unlimited projects, add up to 50 data items for message creation, and generate personalized messages with just a few clicks. UniqMail also offers direct sending, offline creation, and cost-saving features.

Ai Drive is an innovative AI-powered tool designed to streamline and enhance the driving experience. It utilizes advanced algorithms and machine learning to provide real-time navigation, traffic updates, and personalized recommendations to optimize routes. With its intuitive interface and smart features, Ai Drive aims to revolutionize the way people navigate and commute, making driving safer, more efficient, and enjoyable.

Zoox is a company developing autonomous electric vehicles. The company's mission is to make transportation safer, more enjoyable, and more sustainable. Zoox's vehicles are designed from the ground up to be fully autonomous, with no steering wheel or pedals. They are also all-electric, which helps to reduce pollution and congestion. Zoox is currently testing its vehicles in San Francisco and plans to launch a commercial service in the near future.

Nauto is an AI-powered fleet management software that helps businesses improve driver safety and reduce collisions. It uses a dual-facing camera and external sensors to detect distracted and drowsy driving, as well as in-cabin and external risks. Nauto's predictive AI algorithms can assess, predict, and alert drivers of imminent risks to avoid collisions. It also provides real-time alerts to end distracted and drowsy driving, and self-guided coaching videos to help drivers improve their behavior. Nauto's claims management feature can quickly and reliably process and resolve claims, resulting in millions of dollars saved. Overall, Nauto is a comprehensive driver and vehicle safety platform that can help businesses reduce risk, improve safety, and save money.

RideAI is an innovative AI tool designed to enhance the experience of ride-sharing services. By leveraging advanced artificial intelligence algorithms, RideAI optimizes routes, predicts demand, and improves overall efficiency for both drivers and passengers. With real-time data analysis and smart decision-making capabilities, RideAI aims to revolutionize the ride-sharing industry by providing a seamless and convenient transportation solution.

Motive is an all-in-one fleet management platform that provides businesses with a variety of tools to help them improve safety, efficiency, and profitability. Motive's platform includes features such as AI-powered dashcams, ELD compliance, GPS fleet tracking, equipment monitoring, and fleet card management. Motive's platform is used by over 120,000 companies, including small businesses and Fortune 500 enterprises.

Captain is a leading delivery management software designed to streamline and optimize food delivery operations for restaurant chains. It offers a comprehensive solution that includes automated dispatching, driver tracking, kitchen management, and performance analytics. With features like AI-powered dispatch automation, branded tracking experiences, and data-driven insights, Captain helps businesses improve efficiency, reduce delivery times, and enhance customer satisfaction. Trusted by nation-wide pizza chains and market-leading POS systems, Captain is known for its intuitive interface, flexibility in delivery options, and ability to cater to businesses of all scales.

XOR AI Recruiter is an AI-powered platform designed for recruiting blue-collar and hourly workers in the US. It offers a creative approach to candidate sourcing, smart candidate screening, automatic interview scheduling, and a hiring platform. The platform aims to simplify the hiring process by attracting, pre-screening, and scheduling the best candidates for recruiters, allowing them to focus on hiring top talent. XOR AI Recruiter utilizes modern AI technology to locate candidates not easily found on traditional job boards, providing a cost-effective and efficient solution for fast and effective hiring.

HireList.io is a Next-Gen AI Recruitment tool designed for fast-growing startups. The platform offers Intelligent Recruitment Software powered by AI to streamline the hiring process, target the right talent, and connect with suitable candidates. HireList helps in building dream teams efficiently by providing a job board, AI-powered candidate filtering, and a collaborative hiring process. The tool simplifies recruitment with features like a direct application portal, efficient hiring pipeline, applicant tracking system, communication automation, and structured interviews.

Pathway is an AI-powered route optimization application that helps businesses and individuals find the optimal travel paths. It offers advanced algorithms to analyze various factors like traffic conditions, delivery windows, and resource capacities to generate efficient routes. The application is designed to optimize delivery routes for fleets, improve ride-sharing services, enhance public transportation planning, and provide fast routing for emergency services. Pathway aims to reduce costs, minimize travel time, improve resource allocation, and enhance overall efficiency for users.

Lingio is an AI-powered employee training software designed for frontline workers, offering gamified learning experiences and mobile-based training solutions. The platform combines gamification and AI to enhance course completion rates and improve learning outcomes for deskless industries such as hospitality, cleaning, transportation, elderly care, and facility management.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

This repository contains the source code for the userspace level runtime driver for Coral devices. The software is distributed in binary form at coral.ai/software. Users can build the library using Docker + Bazel, Bazel, or Makefile methods. It supports building on Linux, macOS, and Windows. The library is used to enable the Edge TPU runtime, which may heat up during operation. Google does not accept responsibility for any loss or damage if the device is operated outside the recommended ambient temperature range.

sane-airscan is a SANE backend that supports driverless scanning using Apple AirScan (eSCL) and Microsoft WSD protocols. It automatically chooses between the two protocols and has been tested with various devices from Brother, Canon, Dell, Kyocera, Lexmark, Epson, HP, OKI, Panasonic, Pantum, Ricoh, Samsung, and Xerox. The backend allows for automatic and manual device discovery and configuration, supports scanning from platen and ADF in color and grayscale modes, and works with both IPv4 and IPv6. It does not require installation and does not conflict with vendor-provided proprietary software.

ClearML Fractional GPU is a tool designed to optimize GPU resource utilization by allowing multiple containers to run on the same GPU with driver-level memory limitation and compute time-slicing. It supports CUDA 11.x & CUDA 12.x, preventing greedy processes from grabbing the entire GPU memory. The tool offers options like Dynamic GPU Slicing, Container-based Memory Limits, and Kubernetes-based Static MIG Slicing to enhance hardware utilization and workload performance for AI development.

The Spellbook Docker Compose repository contains the Docker Compose files for running the Spellbook AI Assistant stack. It requires ExLlama and a Nvidia Ampere or better GPU for real-time results. The repository provides instructions for installing Docker, building and starting containers with or without GPU, additional workers, Nvidia driver installation, port forwarding, and fresh installation steps. Users can follow the detailed guidelines to set up the Spellbook framework on Ubuntu 22, enabling them to run the UI, middleware, and additional workers for resource access.

BlinkID iOS is a mobile SDK that enables developers to easily integrate ID scanning and data extraction capabilities into their iOS applications. The SDK supports scanning and processing various types of identity documents, such as passports, driver's licenses, and ID cards. It provides accurate and fast data extraction, including personal information and document details. With BlinkID iOS, developers can enhance their apps with secure and reliable ID verification functionality, improving user experience and streamlining identity verification processes.

RKLLM software stack is a toolkit designed to help users quickly deploy AI models to Rockchip chips. It consists of RKLLM-Toolkit for model conversion and quantization, RKLLM Runtime for deploying models on Rockchip NPU platform, and RKNPU kernel driver for hardware interaction. The toolkit supports RK3588 and RK3576 series chips and various models like TinyLLAMA, Qwen, Phi, ChatGLM3, Gemma, InternLM2, and MiniCPM. Users can download packages, docker images, examples, and docs from RKLLM_SDK. Additionally, RKNN-Toolkit2 SDK is available for deploying additional AI models.

This repository contains an early-phase IREE compiler and runtime plugin for interfacing the AMD AIE accelerator to IREE. It provides architectural overview, developer setup instructions, building guidelines, and runtime driver setup details. The repository focuses on enabling the integration of the AMD AIE accelerator with IREE, offering developers the tools and resources needed to build and run applications leveraging this technology.

aiosql is a Python module that allows you to organize SQL statements in .sql files and load them into your Python application as methods to call. It supports various database drivers like SQLite, PostgreSQL, MySQL, MariaDB, and DuckDB. The project is an implementation of Kris Jenkins' yesql library to the Python ecosystem, allowing users to easily reuse SQL code in SQL GUIs or CLI tools. With aiosql, you can write, version control, comment, and run SQL code using files without losing the ability to use them as you would any other SQL file. It provides support for PEP 249 and asyncio based drivers, enabling users to execute parametric SQL queries from Python methods.

This repository provides a Docker image that acts as an AirPrint bridge for local printers, allowing them to be exposed to iOS/macOS devices. It runs a container with CUPS and Avahi to facilitate this functionality. Users must have CUPS drivers available for their printers. The tool requires a Linux host and a dedicated IP for the container to avoid interference with other services. It supports setting up printers through environment variables and offers options for automated configuration via command line, web interface, or files. The repository includes detailed instructions on setting up and testing the AirPrint bridge.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

E2B Infra is a cloud runtime for AI agents. It provides SDKs and CLI to customize and manage environments and run AI agents in the cloud. The infrastructure is deployed using Terraform and is currently only deployable on GCP. The main components of the infrastructure are the API server, daemon running inside instances (sandboxes), Nomad driver for managing instances (sandboxes), and Nomad driver for building environments (templates).

Aircrack-ng is a comprehensive suite of tools designed to evaluate the security of WiFi networks. It covers various aspects of WiFi security, including monitoring, attacking (replay attacks, deauthentication, fake access points), testing WiFi cards and driver capabilities, and cracking WEP and WPA PSK. The tools are command line-based, allowing for extensive scripting and have been utilized by many GUIs. Aircrack-ng primarily works on Linux but also supports Windows, macOS, FreeBSD, OpenBSD, NetBSD, Solaris, and eComStation 2.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

This repository is dedicated to the ANZ LLM Workshop Series, providing a series of notebooks developed and tested on Databricks ML Runtime 14.3. The notebooks cover topics such as setting up HuggingFace models, working with sample documents, constructing RAG architectures, and running applications on the driver node in Databricks. Additionally, the repository offers recordings of past webinars and further reading materials related to LLM.

Get Jobs is a tool designed to help users find and apply for job positions on various recruitment platforms in China. It features AI job matching, automatic cover letter generation, multi-platform job application, automated filtering of inactive HR and headhunter positions, real-time WeChat message notifications, blacklisted company updates, driver adaptation for Win11, centralized configuration, long-lasting cookie login, XPathHelper plugin, global logging, and more. The tool supports platforms like Boss直聘, 猎聘, 拉勾, 51job, and 智联招聘. Users can configure the tool for customized job searches and applications.

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.

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

Hello I'm Escort-Vehicle Driver Assistant! What would you like help with today?

Assists non-EU foreigners with French driving license process.

Hello I'm Bookmobile Driver Assistant! What would you like help with today?

Delamain is a Ai taxi driver from the game Cyberpunk 2077, offering conversation and service

Organizes and promotes sustainability events.

Guides young drivers in safe, responsible driving

with Adam Driver, Ryan Gosling, Leonardo Decaprio, Christan Bale, Matthew McConaughey, Robert Downey Jr, Keanu Reeves, Ethan Hawke, Tom Hardy, Michael B. Jordan, Oscar Isaac, and Joaquin Phoenix

Before Hitting Your Driver Learn With Me!

Simple, Friendly Guide for Jamaican Drivers

Your go-to expert for all things Formula 1 racing. Get lap times, pit stop times, driver & team standings and other race related statistics. Developed by apexbite.com

Expert in driving advice and tips

Especialista em consultar CEP

Your expert guide for all things EUC, with a focus on battery safety, maintenance, and protective gear.

As-soon-as-possible delivery and service solutions.

Friendly GPT for optimizing delivery routes, asks for clarifications.

Enhances cannabis delivery customer experience with data analysis and recommendations.

I optimize cannabis delivery routes and answer cannabis queries, offering downloadable advice.

Road navigation expert offering traffic updates and driving tips.

An expert on trucks, offering insights on maintenance, types, and news.

Provides assistance on ZOHO RouteIQ