Best AI tools for< Graduate Advisor >

Hiree365 is a comprehensive campus recruitment platform that connects universities, students, employers, and governments to improve graduate employability. It offers a range of features to help universities manage campus recruitments, employers attract better candidates, and students find jobs related to their university courses. Hiree365 also provides AI-powered job screening and matching technology to help employers find the perfect match for any job posting.

Beyond 12 is a tech-enabled nonprofit organization that aims to close the economic divide by providing first-generation students with the tools they need to graduate from college. They offer personalized coaching from expert, near-peer coaches, an intelligent mobile app called MyCoach, and AI-powered analytics to predict and provide the right type of support for students. Beyond 12 partners with institutions to increase student engagement, retention, and success in higher education. Their unique model combines empathic coaching with adaptive technology to guide students to completion and success.

The Princeton Review is an AI-based test preparation and tutoring platform offering personalized academic support, test prep courses, and college admissions counseling. With over 43 years of industry experience and a track record of helping millions of students, The Princeton Review uses sophisticated AI technology to provide students with tailored learning experiences, expert-led videos, interactive reports, and feedback tools for essays and homework. The platform covers a wide range of subjects and exams, from K-12 academics to graduate and professional tests like SAT, ACT, MCAT, LSAT, GRE, GMAT, and more. Additionally, it offers services for college admissions counseling, school partnerships, and international licensing.

Science in the News is a Harvard graduate student organization with a mission to bridge the communication gap between scientists and non-scientists. It provides a platform for researchers to share their work with the wider community in an accessible and engaging way. The website features articles, podcasts, videos, and other resources on a wide range of scientific topics, including astronomy, biology, chemistry, computer science, and physics.

Baani AI is an AI tool designed to provide smarter responses. It is currently in beta version, so users may encounter errors and stability issues. The tool aims to enhance user experience by offering intelligent feedback. Users can select their study level, whether graduate or undergraduate, to receive tailored responses.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Slot Scatter Hitam is an online platform that offers a high Return to Player (RTP) experience, especially in the Mahjong Ways game. It provides players with the opportunity to achieve big wins by obtaining the rare black scatter symbol. The platform collaborates with major providers to enhance gameplay and increase jackpot chances. Players can benefit from game pattern hints, bonuses, and promotions, making their gaming sessions more enjoyable and rewarding. Slot Scatter Hitam aims to deliver a satisfying winning experience through strategic play and a bit of luck.

My Learning Space AI is an all-in-one immersive learning platform that offers comprehensive application guides, interview tips, tutoring services, and expert coaching to help students boost their chances of admission to various graduate programs. The platform provides AI-driven feedback on mock video interviews, personalized coaching, and assistance in aligning responses with program expectations to enhance articulation, confidence, and strategic alignment.

Mantra AI is an AI-powered productivity application designed to help users enhance their daily routines, boost productivity, and improve well-being. It offers a suite of intelligent features such as AI device tracking, personalized playlists, mindfulness assistant, smart task management, focus optimization, and adaptive scheduling. Users can optimize their digital habits, prioritize tasks, minimize distractions, and achieve mental clarity with the help of AI technology. Mantra AI aims to revolutionize workflow, enhance focus, and provide personalized recommendations for a harmonious and productive day.

MeinProfilbild.de is an AI-powered platform that transforms selfies into professional-looking profile pictures, optimized for job applications and other professional purposes. With its advanced AI technology, users can upload their selfies and receive high-quality profile pictures within 90 minutes. The platform offers various packages, including Standard, Professional, and Premium, with different numbers of photos, backgrounds, and styles to choose from. MeinProfilbild.de has helped thousands of users enhance their professional image and make a strong impression in their job applications.

FALTAH is an AI-powered Interview Simulation tool designed to help users practice interview questions, enhance their skills, and receive tips for their next interview. The tool utilizes artificial intelligence to provide personalized feedback, performance reports, personality analysis, and CV parsing. It aims to assist students, job seekers, and remote workers in improving their interview skills and increasing their job prospects.

IntervAI is an AI-powered mock interview platform that offers realistic and personalized interview practice anytime, anywhere. Users can practice with AI-powered interview simulations to improve their skills and perfect their interview abilities. The platform provides instant and personalized feedback on strengths and areas of improvement, offers a realistic and interactive experience with human-like speaking avatars, and supports multilingual interactions. IntervAI helps users reduce interview anxiety by providing preparation in advance, allowing them to know what to expect and approach interviews with confidence. The application offers different packages with varying features to cater to individual needs and time constraints.

Simsy is an AI-driven platform that empowers graduate students, working professionals, and entrepreneurs to innovate, grow, and scale their ventures. It provides personalized recommendations, startup resources, and access to a global network of mentors, investors, and service providers. Simsy accelerates the startup journey by offering tailored tools, a hyper-personalized AI copilot, and a comprehensive support system. The platform fosters collaboration, drives growth, and shapes the future of entrepreneurship by providing accessible pricing, managed services, and venture studio launchpad programs.

Ferhat Erata is an AI application developed by a Computer Science PhD graduate from Yale University. The application focuses on training transformers to solve NP-complete problems using reinforcement learning and improving test-time compute strategies for reasoning. It also explores learning randomized reductions and program properties for security, privacy, and side-channel resilience. Ferhat Erata is currently an Applied Scientist at the Automated Reasoning Group at AWS, working on Neuro-Symbolic AI to prevent factual errors caused by LLM hallucinations using mathematically sound Automated Reasoning checks.

The website is a platform maintained by Joseph Chet Redmon, a graduate student working on computer vision. It features information on his projects, publications, talks, and teaching activities. The site also includes details about the Darknet Neural Network Framework, tactics in Coq, and research work. Visitors can learn about computer vision, object recognition, and visual question answering through the resources provided on the site.

Solvely is an all-in-one AI homework helper that provides step-by-step solutions for all courses, from K12 to Graduate school. It covers a wide range of subjects, from STEM to Liberal Arts, and offers detailed explanations to help users understand complex problems. With a high accuracy rate and a user-friendly interface, Solvely aims to make learning and problem-solving easier for students, parents, and teachers worldwide.

The Berkeley Artificial Intelligence Research (BAIR) Lab is a renowned research lab at UC Berkeley focusing on computer vision, machine learning, natural language processing, planning, control, and robotics. With over 50 faculty members and 300 graduate students, BAIR conducts research on fundamental advances in AI and interdisciplinary themes like multi-modal deep learning and human-compatible AI.

Artificial Intelligence: Foundations of Computational Agents, 3rd edition by David L. Poole and Alan K. Mackworth, Cambridge University Press 2023, is a book about the science of artificial intelligence (AI). It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This book provides an accessible synthesis of the field aimed at undergraduate and graduate students. It provides a coherent vision of the foundations of the field as it is today. It aims to provide that synthesis as an integrated science, in terms of a multi-dimensional design space that has been partially explored. As with any science worth its salt, artificial intelligence has a coherent, formal theory and a rambunctious experimental wing. The book balances theory and experiment, showing how to link them intimately together. It develops the science of AI together with its engineering applications.

ARTi is an AI-powered resume builder that helps users create professional and tailored resumes in minutes. With its intuitive interface and powerful features, ARTi makes it easy for users to showcase their skills, experience, and accomplishments in a way that stands out to potential employers. Whether you're a recent graduate, a seasoned professional, or someone looking to make a career change, ARTi can help you create a resume that will get you noticed.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

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

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. It enables a data & learning flywheel for LLMs by unifying inference, observability, optimization, and experimentation. The platform includes a high-performance model gateway, structured schema-based inference, observability, experimentation, and data warehouse for analytics. TensorZero Recipes optimize prompts and models, and the platform supports experimentation features and GitOps orchestration for deployment.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

AIInfra is an open-source project focused on AI infrastructure, specifically targeting large models in distributed clusters, distributed architecture, distributed training, and algorithms related to large models. The project aims to explore and study system design in artificial intelligence and deep learning, with a focus on the hardware and software stack for building AI large model systems. It provides a comprehensive curriculum covering topics such as AI chip principles, communication and storage, AI clusters, large model training, and inference, as well as algorithms for large models. The course is designed for undergraduate and graduate students, as well as professionals working with AI large model systems, to gain a deep understanding of AI computer system architecture and design.

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.

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, speech recognition, generation, certification, etc.).

The Data Scientist Roadmap2024 provides a comprehensive guide to mastering essential tools for data science success. It includes programming languages, machine learning libraries, cloud platforms, and concepts categorized by difficulty. The roadmap covers a wide range of topics from programming languages to machine learning techniques, data visualization tools, and DevOps/MLOps tools. It also includes web development frameworks and specific concepts like supervised and unsupervised learning, NLP, deep learning, reinforcement learning, and statistics. Additionally, it delves into DevOps tools like Airflow and MLFlow, data visualization tools like Tableau and Matplotlib, and other topics such as ETL processes, optimization algorithms, and financial modeling.

rLLM (relationLLM) is a Pytorch library for Relational Table Learning (RTL) with LLMs. It breaks down state-of-the-art GNNs, LLMs, and TNNs as standardized modules and facilitates novel model building in a 'combine, align, and co-train' way using these modules. The library is LLM-friendly, processes various graphs as multiple tables linked by foreign keys, introduces new relational table datasets, and is supported by students and teachers from Shanghai Jiao Tong University and Tsinghua University.

ChordSeqAI Web App is a user-friendly interface for composing chord progressions using deep learning models. The app allows users to interact with suggestions, customize signatures, specify durations, select models and styles, transpose, import, export, and utilize chord variants. It supports keyboard shortcuts, automatic local saving, and playback features. The app is designed for desktop use and offers features for both beginners and advanced users in music composition.

Evalchemy is a unified and easy-to-use toolkit for evaluating language models, focusing on post-trained models. It integrates multiple existing benchmarks such as RepoBench, AlpacaEval, and ZeroEval. Key features include unified installation, parallel evaluation, simplified usage, and results management. Users can run various benchmarks with a consistent command-line interface and track results locally or integrate with a database for systematic tracking and leaderboard submission.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

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.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

Graduate advisor for refining academic papers

考研规划师，学校和专业选择指导

为大学生提供全面的保研准备信息

Career assistant for IBP students and graduates.

Expert in advanced physics, insightful and precise

Assists master's students in English study with advanced focus

Research topic identifier for graduate students, providing detailed, academic-style problem outlines. (e.g. prompt: suggest research topics in renewable energy)

Assistente de Dados de Pós-Graduação em Ciências Biológicas

Personalized tool for finding and preparing for internships.

legal , AI dev MBA

是一个可以帮助你撰写核心期刊研究性论文的功能。可以根据你的研究问题、研究目的、研究方法、研究结果和研究结论等信息，为你生成一份符合格式要求和内容要求的研究性论文草稿，包括标题、摘要、关键词、引言、文献综述、研究设计、数据分析、讨论和参考文献等。还可以提供一些参考文献和范文，帮助你完善和优化你的研究性论文。

Assists with a master's thesis on containerization and orchestration.

是一个可以帮助你撰写核心期刊专利论文的功能。它可以根据你的专利信息、研究背景、创新点、实施效果等信息，为你生成一份符合格式要求和技术要求的专利论文草稿，包括标题、摘要、关键词、引言、专利介绍、实施效果、结论和参考文献等。它还可以提供一些参考文献和范文，帮助你完善和优化你的专利论文。

一位指导理论物理研究生的物理学教授。