Best AI tools for< Traffic Data Analyst >

GoodVision is a smart city traffic analysis tool designed for traffic modellers and surveyors. It provides automation tools for traffic projects, from AI traffic data collection to traffic modeling and real-time traffic control. The platform combines AI and big data analytics to offer adaptive traffic control and urban planning solutions, enabling traffic flow based on accurate insights. GoodVision aims to address traffic congestion issues, air pollution, accidents, and economic losses in cities. Trusted by various testimonials, the tool offers advanced image recognition capabilities, reducing stress on projects and ensuring high accuracy in traffic data processing.

Bearkd Clicktracker is an adblock-proof AI tracking and attribution software designed to help e-commerce stores maximize profitability. It offers fully automated, customizable click fraud prevention and reporting, allowing users to identify and exclude invalid and wasteful traffic, including click fraud and bot attacks. Bearkd's AI-powered system analyzes every click against a wide range of markers to determine its legitimacy, ensuring accurate and reliable data for campaign optimization. With Bearkd, businesses can optimize for intent, enhance traffic quality, increase conversion rates, and protect their PPC budget from fraudulent activities.

Ezoic is a technology platform designed for creators and web publishers to optimize ad monetization, content creation, and SEO strategies. It offers a suite of AI tools such as HUMIX Video Network, Flickify AI Video Creator, NicheIQ AI SEO, and Writio AI Writer. Ezoic helps creators sustainably grow revenue and traffic by using data-driven technologies to enhance user experience and increase ad value. With features like video monetization, content creation tools, and SEO optimization, Ezoic aims to empower digital publishers to succeed in the competitive online landscape.

riyo.ai is an AI toolkit designed to help website owners understand, analyze, and convert their website visitors into paying customers. The tool offers features such as heatmaps, session recordings, real-time engagement tools like live chat, and AI-powered personalized customer assistance. By leveraging data-driven insights, riyo.ai aims to enhance digital customer experiences, increase visitor engagement, and drive growth through lead generation. The tool also provides capabilities for website visitor tracking, identifying anonymous visitors, and streamlining the sales process. With a focus on elevating customer engagement and shaping the future of business growth, riyo.ai is a comprehensive solution for optimizing online interactions.

Neuraspace is an AI/ML solution designed for smarter space traffic management. It automates risk assessment and provides maneuver suggestions up to 5 days before potential collisions, streamlining operations for satellite operators. The platform aims to help satellite companies protect their fleets from space debris, reduce service disruptions, and optimize space operations. Neuraspace offers tools to empower teams to make informed decisions and keep their growing fleets safe with minimal impact on operations.

Websim.ai is an advanced AI tool designed to provide users with a powerful platform for simulating and analyzing web data. With cutting-edge algorithms and machine learning capabilities, Websim.ai offers a comprehensive suite of tools for web data analysis, visualization, and prediction. Users can easily upload their data sets, perform complex analyses, and generate insightful reports to gain valuable insights into their web performance and user behavior. Whether you are a data scientist, marketer, or business owner, Websim.ai empowers you to make informed decisions and optimize your online presence.

LensAI is an AI-powered contextual computer vision ad solution that monetizes any visual content and fine-tunes targeting through identifying objects, logos, actions, and context and matching them with relevant ads.

Rekor is an AI-powered platform that delivers revolutionary roadway intelligence by collecting, connecting, and organizing mobility data. It offers a range of software platforms, hardware systems, and applications for urban mobility, transportation management, and public safety. Rekor's technology utilizes computer vision, edge processing, and predictive algorithms to transform data into actionable intelligence, benefiting communities and businesses on a daily basis. With a focus on security standards and data governance, Rekor provides comprehensive traffic and vehicle analytics, license plate recognition, and compliance automation solutions.

Gamelight is a revolutionary AI platform for mobile games marketing that helps acquire high-quality users at scale. By analyzing app usage data and users' behavior, Gamelight creates detailed user profiles and delivers personalized game recommendations to enhance the gaming experience. The platform also offers a loyalty program that rewards users for gameplay duration, fostering retention and engagement. With advanced algorithms like ROAS Algorithm, Gamelight identifies users with the highest likelihood of making a purchase on your game, providing a competitive advantage in user acquisition.

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

DMSLOG.Ai is an AI tool designed for Smart Port terminal optimization, decongestion, and decarbonation. It offers solutions powered by AI, machine learning, and digital twins to transform container terminals into Smart Ports, providing quick ROI, decongestion, and decarbonation. The tool is used globally on a daily basis, offering plug-and-play AI solutions for various terminal operations and carbon footprint monitoring.

Rosetta AI is an e-commerce marketing platform that uses artificial intelligence to help businesses acquire qualified traffic, personalize interactions, and strengthen member repurchases. It offers a range of solutions, including personalized recommendations, AI-powered advertising, interactive experiences, product label generation, and automated marketing. Rosetta AI is used by over 2000 enterprise and SMB websites worldwide and has helped clients increase their click-through rate, average order value, check-out conversion, and revenue.

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.

Newor Media is a programmatic ad management company that provides publishers with a full suite of ad monetization solutions to maximize their earnings using the industry’s most advanced AI-driven tech stack. With algorithmic real-time bidding, machine-learning, and a team of Ad Ops experts, Newor Media helps publishers increase their ad revenue while balancing user experience. The company has partnerships with all major networks and agencies, ensuring that publishers have access to the most diverse and quality-driven demand in the market.

Permar is an AI-powered website optimization tool that helps businesses increase their conversion rates. It uses reinforcement learning techniques to dynamically adapt website optimization, resulting in an average uplift in conversion rates of 10-12% compared to static A/B tests. Permar also offers a complete toolkit of features to help businesses create high-converting landing pages, including dynamic A/B testing, real-time optimization, and growth experiment ideas.

Lily AI is an e-commerce product discovery platform that helps brands increase sales and improve customer experience. It uses artificial intelligence to understand the language of customers and inject it across the retail ecosystem, from search to recommendations to demand forecasting. This helps retailers connect customers with the relevant products they're looking for, boost product discovery and conversion, and increase traffic, conversion, revenue, and brand loyalty.

The website is a platform that offers backend automation services to users. Users can describe the desired functionality of their backend in a few sentences and access features like a todo list, Reddit trending, random Pokemon generator, Twitter clone, calendar backend, and Ethereum balance checker. The platform is currently experiencing rate limits due to heavy traffic.

MapZot.AI is an advanced retail site selection and market analysis AI tool that leverages big data and unique algorithms to provide real-time insights for businesses. It monitors local and national chains, predicts their next locations with high confidence, and offers decision analytics to pinpoint the best real estate locations for various industries. With features like internal data utilization, store cannibalization models, and over 90% confidence in decision-making, MapZot.AI is a powerful platform for site selection and market planning.

TypeflowAI is a platform that allows users to create AI tools without coding in minutes. Users can easily build, share, and embed AI tools into their websites to enhance SEO, increase traffic, and generate more leads. The platform offers features such as creating dynamic lead magnets, AI quizzes, calculators, and more, along with customization options to fit users' branding. With flexible pricing plans and integrations with popular apps, TypeflowAI simplifies the process of creating AI tools and lead magnets for businesses and individuals.

Dexa.ai is an AI-powered security service provided by Cloudflare. It helps websites protect themselves from online attacks by monitoring and blocking suspicious activities. The tool analyzes user behavior and incoming traffic to detect potential threats and triggers security measures to prevent unauthorized access or data breaches. Dexa.ai is a valuable asset for website owners looking to enhance their cybersecurity defenses and ensure a safe browsing experience for their visitors.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

Nixtla is a production-ready generative pretrained transformer for time series forecasting and anomaly detection. It can accurately predict various domains such as retail, electricity, finance, and IoT with just a few lines of code. TimeGPT introduces a paradigm shift with its standout performance, efficiency, and simplicity, making it accessible even to users with minimal coding experience. The model is based on self-attention and is independently trained on a vast time series dataset to minimize forecasting error. It offers features like zero-shot inference, fine-tuning, API access, adding exogenous variables, multiple series forecasting, custom loss function, cross-validation, prediction intervals, and handling irregular timestamps.

CALF (LLaTA) is a cross-modal fine-tuning framework that bridges the distribution discrepancy between temporal data and the textual nature of LLMs. It introduces three cross-modal fine-tuning techniques: Cross-Modal Match Module, Feature Regularization Loss, and Output Consistency Loss. The framework aligns time series and textual inputs, ensures effective weight updates, and maintains consistent semantic context for time series data. CALF provides scripts for long-term and short-term forecasting, requires Python 3.9, and utilizes word token embeddings for model training.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Domino is an open source workflow management platform that provides an intuitive GUI for creating, editing, and monitoring workflows. It also offers a standard way of writing and publishing functional pieces that can be reused in multiple workflows. Domino is powered by Apache Airflow for top-tier workflows scheduling and monitoring.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AIS-catcher for Android is a multi-platform AIS receiver app that transforms your Android device into a dual channel AIS receiver. It directly accesses a Software Defined Radio USB device to pick up AIS signals from nearby vessels, visualizing them on a built-in map or sending messages via UDP to plotting apps. The app requires a RTL-SDR dongle or an AirSpy device, a simple antenna, an Android device with USB connector, and an OTG cable. It is designed for research and educational purposes under the GPL license, with no warranty. Users are responsible for prudent use and compliance with local regulations. The app is not intended for navigation or safety purposes.

Sunnypilot is a fork of comma.ai's openpilot, offering a unique driving experience for over 250+ supported car makes and models with modified behaviors of driving assist engagements. It complies with comma.ai's safety rules and provides features like Modified Assistive Driving Safety, Dynamic Lane Profile, Enhanced Speed Control, Gap Adjust Cruise, and more. Users can install it on supported devices and cars following detailed instructions, ensuring a safe and enhanced driving experience.

Transformers_And_LLM_Are_What_You_Dont_Need is a repository that explores the limitations of transformers in time series forecasting. It contains a collection of papers, articles, and theses discussing the effectiveness of transformers and LLMs in this domain. The repository aims to provide insights into why transformers may not be the best choice for time series forecasting tasks.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

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

A specialized AI for optimizing traffic control, predicting bottlenecks, and improving road safety.

Your assistant for understanding G Analytics data.

Bonjour ! Je vous donne les alertes en temps réel sur les lignes du réseau RATP (métro, bus, RER et tram) à Paris et en Île-de-France. Quelle ligne vous intéresse ? 🚇🚍

Compose BigQuery SQL queries for GA4 and Google Search Console.

Expert in Google Analytics 4, GTM, BigQuery, and Looker Studio

A chatbot trained on GA4 documentation, updated regularly, providing detailed guidance along with helpful links.

Informal, insightful expert in digital analytics for business improvement.

We help you navigate Google Analytics 4 and start using it more.

Expert answers to your Google Analytics questions

Nerdy, interactive advisor for digital product optimization.

Analyzes GSC data and highlights the impact of search updates.

Providing web data insights from Google and Adobe Analytics.

Fully-equipped .har file inspector with image extraction

Translates network issues into Wireshark filter syntax.

Conseiller en stratégie e-commerce

AI super-editor with expanded capabilities in advanced data analysis and creative assistance.

Road navigation expert offering traffic updates and driving tips.

Provides expert guidance in transportation engineering projects.

Friendly and professional guide for street sign app development.

Let me help you expand your online presence, attract new customers, and retain them effectively. Here's a structured approach we can take based on the RACE (Reach, Act, Convert, Engage) framework