Best AI tools for< Track Applications >

Eztrackr is an AI-powered application designed to help users organize their job hunt efficiently. It offers features such as job tracking, AI answer generator, AI cover letter generator, and Senja Skill Match to streamline the job application process. Users can track job applications effortlessly, gain valuable insights, and manage their job hunt statistics all in one place. Eztrackr aims to make job hunting less stressful and more organized by providing personalized AI tools and powerful features.

LastApply is an AI-powered job application organizer designed to streamline the job application process. Users can sign up, upload their resume, add job application links, and receive tailored resumes and cover letters generated by AI technology. The platform offers both free and premium plans with features such as job application tracking, AI cover letter generation, resume tailoring, job market insights, and customer support. LastApply aims to help job seekers enhance their application materials and increase their chances of securing job opportunities.

Codei is an AI-powered platform designed to help individuals land their dream software engineering job. It offers features such as application tracking, question generation, and code evaluation to assist users in honing their technical skills and preparing for interviews. Codei aims to provide personalized support and insights to help users succeed in the tech industry.

Find My Remote is an AI-powered job search platform that streamlines the job hunting process by leveraging artificial intelligence to find and structure job postings from various ATS platforms. Users can set their job preferences, receive personalized job matches, and save time by applying to curated job listings. The platform offers exclusive job opportunities not typically found on popular job search websites like LinkedIn. With features such as job discovery, application tracking, and faster application process, Find My Remote aims to revolutionize the way job seekers find and apply for jobs.

Wrangle is an AI-powered job search and resume builder platform designed to help job seekers find jobs faster and more efficiently. The platform offers personalized AI copilot assistance, extensive job information, resume creation tools, job tracking features, and a learning algorithm to improve job matches. Wrangle provides a user-friendly experience with a focus on data security and no ads or subscriptions.

Jobzi is an AI-powered job application bot that helps users find and apply for jobs in the UK. It uses machine learning to search for relevant job postings and automatically fill out and submit applications on behalf of users. Jobzi also provides users with a dashboard where they can track their applications and communicate with recruiters.

Forward is an AI-powered web extension that automates the job hunting process by providing daily job opportunities from popular job portals. It eliminates the frustration of dealing with ads, irrelevant search results, and navigating multiple job platforms. Forward matches job requirements with user experiences, offers multiple customizable profiles for job hunting, and supports popular job portals like Indeed, LinkedIn, Glassdoor, and Dice. The tool aims to simplify the job search process, provide clarity on upskilling, and help users navigate the job market effectively.

Sniper AI is an AI-powered platform that serves as a marketplace connecting job candidates with recruiters. The platform streamlines the recruitment process by leveraging artificial intelligence algorithms to match candidates with suitable job openings based on their skills and preferences. With a user-friendly interface, Sniper AI aims to revolutionize the hiring process by providing a seamless and efficient experience for both candidates and recruiters.

Career Copilot is an AI-powered hiring tool that helps recruiters and hiring managers find the best candidates for their open positions. The tool uses machine learning to analyze candidate profiles and identify those who are most qualified for the job. Career Copilot also provides a number of features to help recruiters streamline the hiring process, such as candidate screening, interview scheduling, and offer management.

Canyon is an all-in-one platform that helps job seekers perfect their resumes, apply to more jobs, and ace their interviews. It offers a range of AI-powered tools, including an AI Resume Builder, Canyon Resume Score, Autofill Job Applications with One Click, Manage Job Applications, and AI Mock Interview. With Canyon, job seekers can build outstanding resumes, optimize their applications for each job, and practice their interviewing skills.

Teal is a career development platform that provides tools and resources to help users with their job search. The platform includes an AI resume builder, job application tracker, resume checker, cover letter generator, resume summary generator, and more. Teal also offers career advice and resources, such as a blog, resume examples, and cover letter examples.

Wonsulting is an AI-powered career coaching platform that offers a range of services to help individuals land their dream jobs. The platform provides tools like ResumAI, JobBoardAI, JobTrackerAI, InterviewAI, and more to assist users in tailoring their resumes, tracking job applications, practicing interviews, and improving their job search strategies. Wonsulting aims to empower users with the necessary skills and resources to succeed in their career endeavors, leveraging AI technology and expert guidance to enhance the job search process.

Jobscan is a comprehensive job search tool that helps job seekers optimize their resumes, cover letters, and LinkedIn profiles to increase their chances of getting interviews. It uses artificial intelligence and machine learning technology to analyze job descriptions and identify the skills and keywords that recruiters are looking for. Jobscan then provides personalized suggestions on how to tailor your application materials to each specific job you apply for. In addition to its resume and cover letter optimization tools, Jobscan also offers a job tracker, a LinkedIn optimization tool, and a career change tool. With its powerful suite of features, Jobscan is an essential tool for any job seeker who wants to land their dream job.

ApplyPass is an automated job search AI tool designed to help job seekers optimize their job application process. It offers features such as resume optimization, automated job applications, tracking progress, and personalized profile overhaul. ApplyPass aims to save time for job seekers by applying to hundreds of jobs across platforms, enhancing visibility, and increasing interview opportunities. With a focus on software engineers, ApplyPass combines custom machine learning algorithms and human review to ensure optimized resumes for better job prospects. The tool also provides additional services like resume writing, LinkedIn optimization, and interview preparation.

ScholarRoll is the first of its kind scholarship search tool that smartly matches you to millions of $'s in niche scholarships based on relevance and winning chances. Manage your entire scholarship journey in one secure platform with our comprehensive upto date database, Al powered search, tracking tool, and timely reminders.

Careerflow is a free AI-powered job search platform that provides a suite of tools and resources to help job seekers land their dream jobs faster. The platform includes an AI resume builder, LinkedIn profile optimizer, mock interview tool, job tracker, and more. Careerflow is designed to help job seekers save time and effort in their job search, and to increase their chances of getting hired at their dream companies.

Millis AI is an advanced AI tool that enables users to effortlessly create next-gen voice agents with ultra-low latency, providing a seamless and natural conversational experience. It offers affordable pricing, integration with various services through webhooks, and the ability to connect phone numbers to AI voice agents for inbound/outbound calls in over 100 countries. With Millis AI, users can build and deploy voice agents in minutes, from no-code to low-code developers, and transform voice interactions across industries.

Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks. It allows users to integrate machine learning functionality into their existing applications with just 2 lines of code, ensuring real-time performance even with high-resolution data on consumer-grade CPUs. The API is clean and minimalistic, robust to large-scale and resolution variations, and versatile, running on Python3 and Numpy. The tool adapts to the computing power of the system, supporting both CPU and GPU for different workloads.

WorkSync.AI is an AI-powered job application extension designed to significantly speed up the job application process. It helps users apply to multiple job positions effortlessly by autofilling job applications with AI technology. The tool aims to improve the quality of job applications by providing prompts for cover letters and responses, making it easier for users to submit high-effort applications. Additionally, WorkSync.AI offers ApplyBot, a feature that automates the application process for LinkedIn EasyApply job applications with just one click. The tool also provides a dashboard with CV formats, candidate tips, and analytics to help users become better candidates and track their job application progress.

Sighthound is an AI-powered video solutions provider that specializes in solving complex video AI problems at scale. Their products, such as Sighthound ALPR+ for Automatic License Plate Recognition and Sighthound Redactor for Video Redaction, leverage deep learning technology to unlock valuable user insights, reduce operational costs, and increase revenue in the privacy and vehicle recognition space. With a focus on simplicity and customer support, Sighthound offers easy integration of their AI products through simple-to-use APIs.

A curated list of Generative AI projects, tools, artworks, and models

AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

Burr is a Python library and UI that makes it easy to develop applications that make decisions based on state (chatbots, agents, simulations, etc...). Burr includes a UI that can track/monitor those decisions in real time.

Inspector is a code execution monitoring tool specifically designed for Laravel applications. It provides simple and efficient monitoring capabilities to track and analyze the performance of your Laravel code. With Inspector, you can easily monitor web requests, test the functionality of your application, and explore data through a user-friendly dashboard. The tool requires PHP version 7.2.0 or higher and Laravel version 5.5 or above. By configuring the ingestion key and attaching the middleware, users can seamlessly integrate Inspector into their Laravel projects. The official documentation provides detailed instructions on installation, configuration, and usage of Inspector. Contributions to the tool are welcome, and users are encouraged to follow the Contribution Guidelines to participate in the development of Inspector.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

mediasoup-client-aiortc is a handler for the aiortc Python library, allowing Node.js applications to connect to a mediasoup server using WebRTC for real-time audio, video, and DataChannel communication. It facilitates the creation of Worker instances to manage Python subprocesses, obtain audio/video tracks, and create mediasoup-client handlers. The tool supports features like getUserMedia, handlerFactory creation, and event handling for subprocess closure and unexpected termination. It provides custom classes for media stream and track constraints, enabling diverse audio/video sources like devices, files, or URLs. The tool enhances WebRTC capabilities in Node.js applications through seamless Python subprocess communication.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

Open-Source Evaluation for LLM Applications. `continuous-eval` is an open-source package created for granular and holistic evaluation of GenAI application pipelines. It offers modularized evaluation, a comprehensive metric library covering various LLM use cases, the ability to leverage user feedback in evaluation, and synthetic dataset generation for testing pipelines. Users can define their own metrics by extending the Metric class. The tool allows running evaluation on a pipeline defined with modules and corresponding metrics. Additionally, it provides synthetic data generation capabilities to create user interaction data for evaluation or training purposes.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

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.

TaskingAI brings Firebase's simplicity to **AI-native app development**. The platform enables the creation of GPTs-like multi-tenant applications using a wide range of LLMs from various providers. It features distinct, modular functions such as Inference, Retrieval, Assistant, and Tool, seamlessly integrated to enhance the development process. TaskingAI’s cohesive design ensures an efficient, intelligent, and user-friendly experience in AI application development.

Python SDK for LiveKit enables developers to easily integrate real-time video, audio, and data features into their Python applications. By connecting to a LiveKit server, users can quickly build interactive live streaming or video call applications with minimal code. The SDK includes packages for real-time participant connection and access token generation, making it simple to create rooms and manage participants. With asyncio and aiohttp support, developers can seamlessly interact with the LiveKit server API and handle real-time communication tasks effortlessly.

Langchain.rb is a Ruby library that makes it easy to build LLM-powered applications. It provides a unified interface to a variety of LLMs, vector search databases, and other tools, making it easy to build and deploy RAG (Retrieval Augmented Generation) systems and assistants. Langchain.rb is open source and available under the MIT License.

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