Best AI tools for< Gym Instructor >
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16 - AI tool Sites
BodyMax AI
BodyMax AI is an AI application that offers a unique service of providing users with a detailed physique rating using AI body scanning technology. Users can simply upload front and back shirtless images to receive an in-depth analysis of their muscle groups, along with personalized exercise recommendations. Ideal for gym enthusiasts, bodybuilders, and individuals seeking to enhance their physique, BodyMax AI aims to revolutionize the fitness industry by leveraging artificial intelligence to help users achieve their fitness goals.
Trainer+ by Vitruvian
Trainer+ by Vitruvian is an all-in-one digital home gym that utilizes advanced artificial intelligence technology to provide users with a personalized and effective workout experience. With its sleek design, portability, and easy-to-use V app, Trainer+ offers a wide range of weightlifting exercises that can generate resistance up to 440 pounds (200 kg) without the need for bulky equipment. The V app precisely calculates every movement to ensure optimal training, including eccentric overload modes that cater to individual fitness needs. Trainer+ is suitable for various fitness levels, from beginners to seasoned athletes, and its real-time weight adjustment feature allows users to focus on their technique without worrying about manual weight adjustments.
Weekly Workout
Weekly Workout is an AI-powered fitness platform that provides personalized workout plans and tracks your progress. With Weekly Workout, you can get four days of invigorating exercise routines every week, tailored to your fitness level and goals. The platform also offers a weekly newsletter with tips and advice from fitness experts.
GymBuddy
GymBuddy is an AI-powered workout planner that helps users create personalized and effective workout routines. It uses AI technology to analyze user data and provide tailored exercise recommendations based on their fitness goals and body composition. The app also includes features for tracking progress, monitoring weight, and identifying areas for improvement. With its user-friendly interface and advanced analytics, GymBuddy aims to make fitness accessible and enjoyable for everyone.
GymBuddy.ai
GymBuddy.ai is an AI workout planner that leverages artificial intelligence to create personalized workout plans tailored to individual fitness levels, equipment access, and target areas of the body. The platform offers a wide range of exercises and features to help users achieve their fitness goals effectively. With advanced analytics and full workout customization, GymBuddy.ai aims to revolutionize the way people approach their fitness journey.
PlanMyFit
PlanMyFit is an AI-powered training service that offers personalized workout plans tailored to individual needs at a competitive price. The service utilizes advanced AI technology to create customized training programs based on user goals, experience, and preferences, providing a cost-effective alternative to traditional coaching. Users can access detailed workout plans designed by the AI system, helping them achieve their fitness goals efficiently and effectively.
PPLeGPT
PPLeGPT is an AI-powered fitness assistant that helps you create personalized workouts in seconds. Simply describe your workout experience and target area, and PPLeGPT will generate a tailored exercise plan for you.
FitnessAI
FitnessAI is an AI-powered fitness app that provides personalized workouts based on 5.9 million workouts. It uses artificial intelligence to optimize sets, reps, and weight for each exercise, making it easy for users to get stronger and faster. FitnessAI is simple to use, with a user-friendly interface and clear workout recommendations. It also tracks progress over time, so users can see how the algorithm is helping them improve. FitnessAI is a great option for anyone looking to get fit or improve their fitness routine.
AIWOD
AIWOD is an AI-powered workout generator that provides personalized workouts based on your fitness level and goals. It offers a variety of workouts, including strength training, cardio, yoga, and Pilates. AIWOD also provides detailed instructions and videos for each exercise, making it easy to follow along. With AIWOD, you can get a great workout anytime, anywhere.
Workout Tools
Workout Tools is an AI-powered personal trainer that helps you train smarter and reach your fitness goals faster. It takes into account different parameters, such as your physics, the type of workout you're interested in, your available equipment, and comes up with a suggested workout. Don't like the workout? Just generate another one. It's that simple.
Keepme
Keepme is an AI-powered platform designed for gyms to boost sales, predict and prevent attrition, and enhance member retention. It offers features such as Keepme Score™ for predicting attrition, smart lead scoring, gym tours & trials scheduler, NPS surveys, smart campaigns & automations, smart content production, and WhatsApp integration. The platform provides personalized training and world-class support through Keepme Academy and customer success team. Keepme is trusted by over 450 fitness clubs globally and offers valuable AI resources to empower users with knowledge.
Rizz AI
Rizz AI is an AI-powered platform designed to help individuals practice and improve their social skills. The platform offers users the opportunity to practice conversations, receive feedback, and build confidence in various social scenarios. By simulating real-world interactions, Rizz AI aims to enhance users' communication skills and boost their self-assurance. With a focus on speech training and goal achievement, the platform provides personalized feedback and tailored insights to help users track their progress and identify areas for improvement.
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SteelBrro
SteelBrro is a virtual gym companion and bodybuilding guru, designed to help you navigate the world of muscle-building with professional expertise and bro-style camaraderie. With a detailed knowledge base derived from a plethora of reputable bodybuilding and dietary supplement websites, SteelBrro combines serious fitness guidance with a lighthearted, fun-loving demeanor that makes discussing gym routines and dietary supplements engaging and entertaining.
Feedback Navigator
Feedback Navigator is an AI-powered platform designed to help businesses analyze and extract valuable insights from customer feedback data. It offers features such as sentiment analysis, request detection, custom workflows, and the ability to import feedback from various sources. The platform aims to streamline the process of gathering and understanding customer feedback to empower businesses in making informed decisions and enhancing customer satisfaction.
Tinder Glowup
Tinder Glowup is an AI application that uses artificial intelligence to generate pictures of users with abs, providing a quick and easy way to visualize a transformed physique without the need for extensive gym workouts. Users can upload their photos, and the AI model processes them to create custom abs pictures, which are then deleted from the servers after delivery. The application offers a one-time payment pricing plan and ensures secure financial transactions through Stripe. With features like generating 20+ abs pictures, using them as motivation for the gym, and enhancing one's dating profile on platforms like Tinder and Hinge, Tinder Glowup aims to help users improve their appearance and confidence effortlessly.
20 - Open Source Tools
Awesome-Papers-Autonomous-Agent
Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.
embodied-agents
Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.
Awesome-Code-LLM
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)
DecryptPrompt
This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.
habitat-lab
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks.
AgentGym
AgentGym is a framework designed to help the AI community evaluate and develop generally-capable Large Language Model-based agents. It features diverse interactive environments and tasks with real-time feedback and concurrency. The platform supports 14 environments across various domains like web navigating, text games, house-holding tasks, digital games, and more. AgentGym includes a trajectory set (AgentTraj) and a benchmark suite (AgentEval) to facilitate agent exploration and evaluation. The framework allows for agent self-evolution beyond existing data, showcasing comparable results to state-of-the-art models.
LiveBench
LiveBench is a benchmark tool designed for Language Model Models (LLMs) with a focus on limiting contamination through monthly new questions based on recent datasets, arXiv papers, news articles, and IMDb movie synopses. It provides verifiable, objective ground-truth answers for accurate scoring without an LLM judge. The tool offers 18 diverse tasks across 6 categories and promises to release more challenging tasks over time. LiveBench is built on FastChat's llm_judge module and incorporates code from LiveCodeBench and IFEval.
LLMEvaluation
The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.
ScreenAgent
ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.
Awesome-Embodied-Agent-with-LLMs
This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.
Tools4AI
Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.
humanoid-gym
Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.
DDQN-with-PyTorch-for-OpenAI-Gym
Implementation of Double DQN reinforcement learning for OpenAI Gym environments with discrete action spaces. The algorithm aims to improve sample efficiency by using two uncorrelated Q-Networks to prevent overestimation of Q-values. By updating parameters periodically, the model reduces computation time and enhances training performance. The tool is based on the Double DQN method proposed by Hasselt in 2010.
spear
SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.
20 - OpenAI Gpts
Muscle Mentor
Custom lifting programs and strength coaching based off of your experience, goals, preferred training method, age, and available equipment.
Exercise Addiction Quiz
Why is the gym addictive? Take this test to learn about exercise addiction symptoms and discover if you are addicted to working out.
Average Joe Lifter
GYM Guide: Ask about any exercise, and I'll give recommended lifting weights for personalized muscle growth!
ChadGPT
Your personal physical trainer. Ask ChadGPT anything related to fitness, lifting, workouts, the gym, cross-fit, calisthenics, muscle growth, nutrition, etc.
Kettle Bell Builder
Kettlebell HIIT workout planner with customizable routines and timer guidance.
AI Sergeant Motivator
Motivational gym trainer with a military style, providing disciplined fitness advice.
Rage Debater
Go to the Brain Gym. Argue better or Get Wrecked. Practice persuading your friends, coworkers, everyone.