Best AI tools for< Health And Fitness Instructor >

Getactyv is an AI and computer vision assisted health and fitness platform that helps users track their progress, set goals, and stay motivated. The platform uses AI to analyze user data and provide personalized recommendations for workouts, nutrition, and lifestyle changes. Getactyv also offers a community forum where users can connect with others and share their experiences.

MikeAI is a personalized AI fitness coach designed to help users achieve their fitness goals. It provides personalized meal plans, workout plans, recipes, and access to FitnessGPT, an AI chatbot that can answer fitness-related questions. MikeAI is suitable for both beginners and experienced fitness enthusiasts looking to take their training to the next level.

BodyGuru is an AI-powered application that helps users optimize their health by generating personalized wellness routines. The tool is designed to improve users' appearance, youthfulness, and overall well-being. It is a free platform that offers features to enhance users' health and fitness journey.

Zhakun.ai is a revolutionary mobile app that serves as a 4-in-1 Tracker for nutrition, sleep, goals, and fitness. The app utilizes AI technology to monitor and optimize various aspects of your health and wellness journey. It provides personalized insights and recommendations to help users achieve their health objectives effectively. Additionally, users can access lifetime reports to track progress and celebrate successes. Join Zhakun.ai to embark on a journey towards a healthier, happier you.

Shapemate is a WhatsApp chatbot that helps users with their health and fitness goals. It can track workouts, calories, and body fat percentage, and generate recipes and workouts. Shapemate is an all-in-one solution for nutrition and fitness, and it's available 24/7.

Journable is a food and fitness journal that uses AI to make tracking your diet and exercise as easy as having a conversation. With Journable, you can set your own health goals, track your progress, and get instant nutritional and exercise insights based on your conversations. Journable's AI understands a wide variety of foods, from homemade meals to restaurant dishes, and can even analyze your workouts to give you a full picture of your calorie intake and burn. Whether you're looking to lose weight, gain muscle, or simply maintain a healthy lifestyle, Journable provides the tools and insights you need to succeed.

Attune Health Mobile App is an AI-enabled application that offers contactless measurement of vital signs using video-based technology. Users can easily track and monitor their blood pressure, oxygen saturation, HRV, stress levels, and Hemoglobin through a simple face scan. The app provides accurate real-time measurements, empowering individuals to take control of their health and wellness. It also offers gender-specific results, privacy protection, and family value by allowing biomarker measurements for the whole family. Attune Health is a comprehensive solution for individuals and corporations seeking to improve health outcomes and productivity.

Health Harbor is a web application designed to provide health-related information and resources to users. The platform offers a wide range of articles, tips, and tools to help individuals improve their overall well-being. Users can access information on various health topics such as nutrition, fitness, mental health, and more. Health Harbor aims to empower users to make informed decisions about their health and lifestyle choices.

FitAI is an AI-powered nutrition tracking app that helps users understand their nutritional intake and make healthier choices. The app features a variety of tools to make tracking easy, including a food recognition system, an image logging feature, and an AI trainer. FitAI is designed for health-conscious individuals who want to take control of their nutrition and improve their overall well-being.

Faitness.io is an AI-powered platform that offers personalized workout plans tailored to individual fitness goals and preferences. By leveraging advanced machine learning algorithms and fitness science research, Faitness.io provides users with effective and safe workout routines. The platform covers a wide range of activities, including strength training, cardiovascular workouts, and flexibility training, suitable for users of all fitness levels. Faitness.io aims to revolutionize the fitness industry by making intelligent workouts accessible to everyone.

Endurance is a platform designed for runners, swimmers, and cyclists to engage in group training activities with friends or local communities. Users can create or join teams, share structured workouts, and benefit from collective motivation and accountability. The platform aims to make training fun and effective by leveraging the power of group workouts and social connections.

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.

KinesteX AI is a personal fitness trainer and motion analysis SDK that offers a white-labeled motion tracking solution with ready-made or custom AI experiences. It seamlessly integrates into platforms to provide valuable insights such as movement tracking, exercise rep-count, calorie-burn rate, workout performance metrics, and more. The AI-powered motion tracking boosts user engagement, retention, and revenue by creating personalized fitness experiences. KinesteX SDK supports any camera-enabled device across Android, iOS, web, and gaming platforms for quick integration.

Zing Coach is a fitness application designed to help users determine their fitness level and provide personalized workout plans. The app offers options for beginners, intermediate, and advanced users, catering to a wide range of fitness levels. Users can easily assess their current fitness level and receive tailored workout recommendations based on their individual needs and goals. Zing Coach aims to make fitness more accessible and enjoyable for users of all levels by providing a user-friendly interface and convenient features.

Supafit is an AI-powered personal trainer application that provides exclusive access to personalized fitness programs and location-specific workouts. The app features a 24/7 chat with a virtual coach, integration with third-party apps, centralization of fitness data, calorie tracking, and progress reports. Users can generate custom routines and receive tailored workout plans that evolve with their progress. Supafit aims to revolutionize the fitness industry by offering a comprehensive and adaptive training experience.

FAT2FIT is an AI-powered application that helps users visualize their body transformation using advanced artificial intelligence technology. The platform allows users to see their future body transformation through AI-generated photos, assisting them in reaching their fitness goals and becoming the best version of themselves. With over 6,587 AI body transformation photos already created, FAT2FIT offers a unique and innovative approach to achieving fitness success.

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.

Impakt is an AI fitness coaching application that offers personalized workout plans, real-time feedback, community support, and tailored workouts to help users reach their fitness goals. The app allows users to track workouts, analyze performance, share progress, and receive insights to improve their fitness journey. With a focus on community engagement and athlete endorsements, Impakt aims to provide a comprehensive fitness experience for users of all levels.

Freebeat AI Workout App is an AI-powered fitness application that serves as a personal coach and planner for users. The app utilizes artificial intelligence to create personalized workout plans, provide real-time feedback, and track progress. With a user-friendly interface, Freebeat AI Workout App aims to help individuals achieve their fitness goals efficiently and effectively.

This AI Calorie Calculator is a free online tool that uses advanced AI algorithms to analyze the food in your uploaded images and estimate the total calorie count. It is designed to help you manage your diet and plan your meals effectively. The calculator is versatile and includes specialized features for children's calorie calculation, weight loss planning, athlete calorie estimation, sauna calorie estimation, and more. It also supports various dietary needs and counting methods globally.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Me LLaMA introduces a suite of open-source medical Large Language Models (LLMs), including Me LLaMA 13B/70B and their chat-enhanced versions. Developed through innovative continual pre-training and instruction tuning, these models leverage a vast medical corpus comprising PubMed papers, medical guidelines, and general domain data. Me LLaMA sets new benchmarks on medical reasoning tasks, making it a significant asset for medical NLP applications and research. The models are intended for computational linguistics and medical research, not for clinical decision-making without validation and regulatory approval.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

Mountain GOAP is a generic C# GOAP (Goal Oriented Action Planning) library for creating AI agents in games. It favors composition over inheritance, supports multiple weighted goals, and uses A* pathfinding to plan paths through sequential actions. The library includes concepts like agents, goals, actions, sensors, permutation selectors, cost callbacks, state mutators, state checkers, and a logger. It also features event handling for agent planning and execution. The project structure includes examples, API documentation, and internal classes for planning and execution.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Iceburg CRM is a metadata driven CRM with AI abilities that allows users to quickly prototype any CRM. It offers features like metadata creations, import/export in multiple formats, field validation, themes, role permissions, calendar, audit logs, API, workflow, field level relationships, module level relationships, and more. Created with Vue 3 for the frontend, Laravel 10 for the backend, Tailwinds with DaisyUI plugin, and Inertia for routing. Users can install default, admin panel, core, custom, or AI versions. The tool supports AI Assist for module data suggestions and provides API endpoints for CRM modules, search, specific module data, record updates, and deletions. Iceburg CRM also includes themes, custom field types, calendar, datalets, workflow, roles and permissions, import/export functionality, and custom seeding options.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

Focuses on simple, 2-3 ingredient meals like grilled chicken and veggies.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Health and fitness coach, expert in exercise physiology and nutrition, offering tailored advice.

Interactive Health & Fitness Buddy

Expert in physical education content knowledge and pedagogical content knowledge

Fitness Coach with Video Examples

Your go-to health and wellness guide, HealthHerald offers personalized fitness tips, healthy recipes, and mindfulness exercises. It also reminds users to stay hydrated and take breaks for mental health.

Health and Wellness Coach providing personalized advice on diet, fitness, and general well-being.

The best guide to men's health and longevity advice.

Your virtual gym assistant for workout routines and fitness advice.

A motivational virtual fitness coach providing personalized workout plans and fitness tips.

I offer dietary and fitness advice, count calories with photo analysis for food.

Creates tailored Pilates routines based on user's goals and fitness level.

Empathetic, motivational guide for health and wellness advice.

Craft personalized Zone Diet meals with ease! 😊 Balance your macros in a 40:30:30 ratio for optimal health and performance. 🥑🥖🍚

A fitness coach GPT offering personalized workout plans.

The best studios, not the chains

Comprehensive fitness and nutrition guide with recipes and visuals.

Your fitness and diet tracking assistant.

AI fitness and nutrition coach