Best AI tools for< Eat Healthy >

AiPhoto.recipes is a web application that helps users create healthy meals using the ingredients they have on hand. Users simply take a photo of their ingredients and the app will provide them with three high-protein recipes that they can prepare. The app is integrated with Telegram, so users can access it without having to download any additional software. AiPhoto.recipes is a great tool for busy people who want to eat healthy meals without having to spend a lot of time planning and shopping.

Prospre is a meal planning app that helps users create personalized meal plans based on their calorie and macro goals. The app also includes a macro tracker, a recipe database, and a grocery list generator. Prospre is designed to make it easy for users to eat healthy and reach their fitness goals.

January AI is a free health app that utilizes predictive AI technology to help users monitor their blood sugar levels and make informed decisions about their nutrition. The app provides real-time insights on the glucose impact of various foods, offers nutrition facts, and suggests healthier alternatives. Founded by Dr. Michael Snyder and Noosheen Hashemi, January AI combines metabolic science with groundbreaking AI to empower users to optimize their nutrition and manage their blood sugar levels effectively.

Grocer AI is a grocery shopping assistant that uses artificial intelligence to help users find recipes, create shopping lists, and set dietary goals. The app is easy to use and can be accessed via text message or through the website. Grocer AI is a valuable tool for anyone who wants to save time and money on their grocery shopping. Grocer AI offers a variety of features that make it a great choice for grocery shoppers. These features include: * Easy text interface: Grocer AI can be used via text message, making it easy to use for everyone, everywhere, everytime. * Usable for everyone: Grocer AI is designed to be used by people of all ages and abilities. * No more researching recipes from the grocery store: Grocer AI provides users with a variety of recipes to choose from, eliminating the need to research recipes from the grocery store. Grocer AI also offers a number of advantages over other grocery shopping apps. These advantages include: * Time-saving: Grocer AI can save users time by helping them find recipes and create shopping lists. * Money-saving: Grocer AI can help users save money by providing them with coupons and discounts. * Healthy eating: Grocer AI can help users eat healthier by providing them with recipes that meet their dietary goals. While Grocer AI is a great tool for grocery shoppers, it does have some disadvantages. These disadvantages include: * Limited selection of recipes: Grocer AI does not offer a wide variety of recipes to choose from. * Not all stores are supported: Grocer AI does not support all grocery stores. * Can be buggy: Grocer AI can sometimes be buggy, which can be frustrating for users. Overall, Grocer AI is a valuable tool for grocery shoppers. The app is easy to use, offers a variety of features, and can save users time and money. However, Grocer AI does have some disadvantages that users should be aware of before using the app. Here are some frequently asked questions about Grocer AI: * Q: How much does Grocer AI cost? * A: Grocer AI is free to use. * Q: What stores does Grocer AI support? * A: Grocer AI supports a variety of grocery stores, including Walmart, Kroger, and Target. * Q: How do I use Grocer AI? * A: To use Grocer AI, simply text (877) 591-5230 to get started.

Fuddle is an AGI-powered nutrition platform designed for humanity. It provides professionals with a comprehensive set of tools to help them create personalized nutrition plans for their clients. Fuddle's features include a food database, recipe builder, meal planner, and progress tracker. The platform also offers a variety of resources and support to help professionals stay up-to-date on the latest nutrition science.

FindAMeal is an AI-powered search engine that helps users discover nearby restaurants based on their personal preferences. By combining data from various food review providers and utilizing AI technology, FindAMeal simplifies the process of finding the perfect dining spot. Users can make any type of query, from finding a date spot to selecting a fancy restaurant for special occasions. The platform aggregates information from sources like Google, Yelp, and Foursquare to offer tailored recommendations, making it easy for users to explore new dining experiences.

Wanderboat AI is an intelligent trip planner that helps users find restaurants, attractions, and events in minutes. By leveraging artificial intelligence, the application provides personalized recommendations based on user preferences and interests. Users can easily plan their trips, discover new places, and create memorable experiences with Wanderboat AI.

Travelicious is a user-friendly app that transforms how you experience cities. By integrating AI with your travel preferences, Travelicious creates personalized itineraries that promise authentic adventures, hidden gems, and the best culinary delights. Simply enter your destination, dates, budget, and interests, and Travelicious will recommend a personalized journey just for you.

Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.

HF-Waitress is a powerful server application for deploying and interacting with HuggingFace Transformer models. It simplifies running open-source Large Language Models (LLMs) locally on-device, providing on-the-fly quantization via BitsAndBytes, HQQ, and Quanto. It requires no manual model downloads, offers concurrency, streaming responses, and supports various hardware and platforms. The server uses a `config.json` file for easy configuration management and provides detailed error handling and logging.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance.

Language Models is a Python package that provides building blocks to explore large language models with as little as 512MB of RAM. It simplifies the usage of large language models from Python, ensuring all inference is performed locally to keep data private. The package includes features such as text completions, chat capabilities, code completions, external text retrieval, semantic search, and more. It outperforms Hugging Face transformers for CPU inference and offers sensible default models with varying parameters based on memory constraints. The package is suitable for learners and educators exploring the intersection of large language models with modern software development.

CAPPr is a tool for text classification that does not require training or post-processing. It allows users to have their language models pick from a list of choices or compute the probability of a completion given a prompt. The tool aims to help users get more out of open source language models by simplifying the text classification process. CAPPr can be used with GGUF models, Hugging Face models, models from the OpenAI API, and for tasks like caching instructions, extracting final answers from step-by-step completions, and running predictions in batches with different sets of completions.

This repository contains an AI implementation that learns to play the classic game Snake in the terminal. The AI is built using Rust and Ratatui. Users can clone the repo, run the simulation, and configure various settings to customize the AI's behavior. The project also provides options for minimal UI, training custom networks, and watching the AI complete the game on different board sizes. The developer shares updates and insights about the project on Twitter and plans to create a detailed blog post explaining the AI's workings.

VITA is an open-source interactive omni multimodal Large Language Model (LLM) capable of processing video, image, text, and audio inputs simultaneously. It stands out with features like Omni Multimodal Understanding, Non-awakening Interaction, and Audio Interrupt Interaction. VITA can respond to user queries without a wake-up word, track and filter external queries in real-time, and handle various query inputs effectively. The model utilizes state tokens and a duplex scheme to enhance the multimodal interactive experience.

Whisper Dictation is a fast, offline, privacy-focused tool for voice typing, AI voice chat, voice control, and translation. It allows hands-free operation, launching and controlling apps, and communicating with OpenAI ChatGPT or a local chat server. The tool also offers the option to speak answers out loud and draw pictures. It includes client and server versions, inspired by the Star Trek series, and is designed to keep data off the internet and confidential. The project is optimized for dictation and translation tasks, with voice control capabilities and AI image generation using stable-diffusion API.

Data-Oriented GOAP (Goal-Oriented Action Planning) is a library that implements GOAP in a data-oriented way, allowing for dynamic setup of states, actions, and goals. It includes bevy_dogoap for Bevy integration. It is useful for NPCs performing tasks dependent on each other, enabling NPCs to improvise reaching goals, and offers a middle ground between Utility AI and HTNs. The library is inspired by the F.E.A.R GDC talk and provides a minimal Bevy example for implementation.

LitGPT is a command-line tool designed to easily finetune, pretrain, evaluate, and deploy 20+ LLMs **on your own data**. It features highly-optimized training recipes for the world's most powerful open-source large-language-models (LLMs).

LoRAX is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency. It features dynamic adapter loading, heterogeneous continuous batching, adapter exchange scheduling, optimized inference, and is ready for production with prebuilt Docker images, Helm charts for Kubernetes, Prometheus metrics, and distributed tracing with Open Telemetry. LoRAX supports a number of Large Language Models as the base model including Llama, Mistral, and Qwen, and any of the linear layers in the model can be adapted via LoRA and loaded in LoRAX.

This open hardware project aims to extend the life of Volvo P2 platform vehicles by updating them to current EU safety and emission standards. It involves designing and prototyping OEM hardware electronics that can replace existing electronics in these vehicles, using the existing wiring and without requiring reverse engineering or modifications. The project focuses on serviceability, maintenance, repairability, and personal ownership safety, and explores the advantages of using open solutions compared to conventional hardware electronics solutions.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

org-ai is a minor mode for Emacs org-mode that provides access to generative AI models, including OpenAI API (ChatGPT, DALL-E, other text models) and Stable Diffusion. Users can use ChatGPT to generate text, have speech input and output interactions with AI, generate images and image variations using Stable Diffusion or DALL-E, and use various commands outside org-mode for prompting using selected text or multiple files. The tool supports syntax highlighting in AI blocks, auto-fill paragraphs on insertion, and offers block options for ChatGPT, DALL-E, and other text models. Users can also generate image variations, use global commands, and benefit from Noweb support for named source blocks.

LLM-Dojo is an open-source platform for learning and practicing large models, providing a framework for building custom large model training processes, implementing various tricks and principles in the llm_tricks module, and mainstream model chat templates. The project includes an open-source large model training framework, detailed explanations and usage of the latest LLM tricks, and a collection of mainstream model chat templates. The term 'Dojo' symbolizes a place dedicated to learning and practice, borrowing its meaning from martial arts training.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

Generates delicious, dietetic recipes with a max of 600 calories per portion.

Helps users eat healthily on a budget with tips and recipes.

Humorous assistant for healthy swaps and medical insights.

Find your next favorite recipe and instantly add fresh, affordable ingredients to your Walmart cart. Enjoy the convenience of home delivery or pickup. Delicious, healthy, and budget-friendly.

A comprehensive guide on male wellness, including exercise, diet, and lifestyle tips.

I'm like Joe Rogan hosting a fitness podcast!

Interactive, multiple-choice grocery planner

Diet is no joke!

Quick and easy recipes prepared in under 20 minutes.

Provides recipes for budget-friendly, nutritious smoothies.

Enthusiastic, supportive recipe guide for health-conscious budgets. Suggesting recipe from Wooloworths and Coles Special products.

Quick 15-minute meal guide.

Personalized assistant for family-specific shopping lists.

Make Healthy Meals With Ingredients You Already Have On Hand

A personal dinner menu planner for weeknight family meals.

I create seasonal meal plans, adaptable to your requests.

Your personal nutritionist assistant.

I create personalized, smart shopping lists with seasonal, health, and budget tips.

Apples vs. Oranges? Optimize your low-calorie diet. Compare food items. Get tailored advice on satiating, nutritious, cost-effective food choices based on 240 items.

Friendly chef crafting recipes from your pantry photos.