Best AI tools for< Optimize Meals >

Prepvil is an AI-powered platform designed to elevate your meal experience. It offers a recipe sharing platform where users can discover diverse cuisines, unlock culinary creativity, and optimize their meals. The platform features a trained AI assistant that can help with various food-related needs such as recipes, nutrition, allergies, cooking methods, and more. Users can register, chat with the AI assistant, and share their own recipes to grow their audience. Prepvil aims to provide a space for home cooks and culinary enthusiasts to connect, learn, and explore the world of food.

The Recipe Database & Food Journal is an AI-powered platform that allows users to manage recipes, log meals, and share culinary experiences. It offers features such as recipe management, meal logging, intelligent search, and personalized recommendations. Users can import recipes, write restaurant reviews, and receive meal suggestions based on their preferences. The platform aims to help users organize and optimize their culinary adventures, fostering a community of shared culinary wisdom.

Beeyond AI is an all-in-one AI digital assistant that offers a wide range of features to enhance productivity, creativity, and daily life. With Beeyond AI, users can convert voice notes to text, generate art, chat with PDFs, create custom AI character bots, write and optimize content, plan travel itineraries, analyze books and movies, and more. The application is designed to be adaptable to a wide range of industries and applications, making it a valuable tool for students, professionals, and individuals seeking to streamline tasks and explore new ideas.

Mealmind is an AI-powered meal planning and nutrition tracking application that helps users optimize their nutrition and achieve their health and fitness goals. It provides personalized meal plans, interactive shopping lists, and tailored recipes based on individual dietary requirements, food preferences, and body goals. The application leverages AI algorithms to analyze user profiles, goals, and dietary restrictions to generate customized meal plans that meet their specific needs. Mealmind also offers an interactive shopping list that simplifies grocery shopping by providing a tailored list of ingredients required for the meal plan. Additionally, the application includes a recipe section with step-by-step instructions to guide users through the cooking process, making it easy for individuals to prepare delicious and nutritious meals at home.

Adjust is an AI-driven platform that helps mobile app developers accelerate their app's growth through a comprehensive suite of measurement, analytics, automation, and fraud prevention tools. The platform offers unlimited measurement capabilities across various platforms, powerful analytics and reporting features, AI-driven decision-making recommendations, streamlined operations through automation, and data protection against mobile ad fraud. Adjust also provides solutions for iOS and SKAdNetwork success, CTV and OTT performance enhancement, ROI measurement, fraud prevention, and incrementality analysis. With a focus on privacy and security, Adjust empowers app developers to optimize their marketing strategies and drive tangible growth.

Entropik is a leading human insights company that offers AI-powered consumer and user experience solutions. Their platform provides fast insights for consumer research, user research, marketing experience, and product experience. With features like Co-Pilot AI, Quantitative Research, Qualitative Research, Predictive Analytics, and more, Entropik helps market researchers, consumer brands, BFSI, gaming companies, digital first brands, media & entertainment, fintech, healthcare, e-commerce, telecom, and retail industries optimize their customer journeys and enhance engagement. The platform also offers AI insights, Emotion AI, Generative AI, and Predictive AI capabilities to track user focus, analyze human emotions, transform data into actionable strategies, and provide in-depth user insights.

Optimal AI is an AI application designed to transform engineering teams by providing actionable insights. It helps software engineering teams measure, optimize, and act on metrics to drive impactful outcomes. By aggregating and reconciling performance data at the team and project level, Optimal AI enables users to uncover meaningful insights, improve engineering efficiency, and enhance customer delivery. The application offers real-time notifications and visibility into delivery, allowing users to prioritize initiatives that deliver customer value.

marktgAI is a full-service agency specializing in AI-driven marketing solutions for SMBs, enterprises, and agencies. They offer custom AI marketing models, strategic planning, audits & optimization, analytics & reporting, online advertising, content marketing, search engine optimization, social media management, and more. Their innovative solutions empower businesses to achieve big results with simple, affordable, and effective AI-driven marketing strategies.

Peppertype.ai is an AI-powered platform that helps users ideate, create, distribute, and measure content to improve content marketing ROI. It offers features such as Content Idea lab, Content Editor, Content Audit, Content ROI and Analytics, and Content Grader. The platform also provides services like Blog Writing, Video Production, Localization, Whitepapers, Thought Leadership, Subtitling, and Voice Over. Peppertype.ai aims to streamline the content creation process by leveraging AI technology.

Gastrograph AI is a cutting-edge artificial intelligence platform that empowers food and beverage companies to optimize their products for consistent market success. Leveraging the world's largest sensory database, Gastrograph AI provides deep insights into consumer preferences, enabling companies to develop new products, enter new markets, and optimize existing products with confidence. With Gastrograph AI, companies can reduce time to market costs, simplify product development, and gain access to trustworthy insights, leading to measurable results and a competitive edge in the global marketplace.

Law.co is an advanced AI platform designed specifically for lawyers and law firms to streamline legal operations and enhance efficiency. The platform offers a semantic database search with access to over 1 million historical legal cases and 40,000 legal contracts, enabling users to perform detailed legal research, contract drafting, document review, and more. Law.co leverages custom-trained artificial intelligence and semantic search tools to deliver measurable results, revolutionizing legal research and document preparation processes for legal professionals.

Ranked is an affordable SEO service that offers white label solutions for businesses and agencies. They provide human-written blog content, managed optimization, genuine backlinks, and leading SEO software. Their services are fully managed and structured for intent and engagement. Ranked utilizes AI engines for analysis, research, and outreach to deliver data-driven work and improve in-house productivity. However, they do not use AI for writing content due to inconsistent indexing on Google.

Federato is an AI-powered platform that integrates Google Cloud's AI capabilities to provide new AI underwriting solutions for the insurance industry. It aims to revolutionize underwriting processes by leveraging AI technology to enhance risk assessment, portfolio management, and decision-making. Federato's RiskOps platform empowers underwriters with powerful insights, real-time risk selection guidance, and unified underwriting workflows, enabling them to make more informed decisions and improve operational efficiency.

Afiniti is a leading CX AI company that has been pioneering customer experience artificial intelligence since 2006. They deliver measurable business outcomes for some of the world's largest enterprises by leveraging AI, data, and cloud infrastructure to improve customer engagement productivity. Afiniti's eXperienceAI suite and Afiniti Inside services are designed to personalize customer experiences, drive better outcomes, and optimize interactions. Their mission is to remove skills or rules-based systems from the customer experience ecosystem, leading to predictive systems and increased customer value.

Skai is an omnichannel marketing platform that leverages AI-powered capabilities to help clients take their campaigns to the next level. It offers a suite of full-funnel capabilities for commerce media advertisers, enabling effective and efficient activation of media programs across various channels. Skai brings together 100+ publishers and retail media networks into one platform for complete visibility across paid media programs. With AI technology, users can identify investment opportunities, make confident decisions, and maximize engagement across search, social, retail media, and app stores.

Glencoco is a tech-enabled sales marketplace that empowers businesses to become fractional sales representatives. The platform offers AI-enabled SDRs on a pay-for-performance basis, helping businesses grow their pipeline by finding the right prospects and maximizing ROI. Glencoco provides insights on prospect responses, integrates dialing and email solutions, and allows users to set up campaigns, select sales development reps, and optimize results. The platform combines human contractors with AI workflows to deliver successful outbound sales motions effortlessly.

Attentive.ai is an AI-powered platform designed to automate landscaping, paving, and construction businesses. It offers end-to-end automation solutions for various industry needs, such as takeoff measurements, workflow management, and bid automation. The platform utilizes advanced AI algorithms to provide accurate measurements, streamline workflows, and optimize business operations. With features like automated takeoffs, smart scheduling, and real-time insights, Attentive.ai aims to enhance sales efficiency, production optimization, and back-office operations for field service businesses. Trusted by over 750 field service businesses, Attentive.ai is a comprehensive solution for managing landscape maintenance and construction projects efficiently.

imagetocaption.ai is an AI-powered tool designed to generate captions for images and videos across various platforms such as social media, Shopify, Instagram, TikTok, and more. It uses modern AI technology to create captions that resonate with the audience, allowing users to customize themes, tones, and additional information. With the option to add brand voice details, the tool ensures authentic and relevant social media texts. Users can upload their own photos and videos, set custom brand voices, and benefit from the ease of use and customization offered by the tool.

klu.ai is an AI-powered platform that focuses on security verification for online connections. It ensures a safe browsing experience by reviewing and enhancing the security measures of the user's connection. The platform utilizes advanced algorithms to detect and prevent potential threats, providing users with a secure environment for their online activities.

Bazaarvoice is an AI-driven influencer marketing platform that helps brands connect, manage, and measure creator collaborations. It leverages user-generated content (UGC) to enhance the consumer journey and omnichannel experience. The platform offers solutions for collecting content, driving conversion, amplifying content, optimizing strategy, and building loyalty. Bazaarvoice Affable.ai, a part of the platform, specializes in AI-driven influencer marketing solutions, enabling users to find and manage influencers seamlessly. The platform automates and consolidates creator management, provides insights on creators, and offers tracking and reporting capabilities.

Qdrant is a vector similarity search engine and vector database. It is written in Rust, which makes it fast and reliable even under high load. Qdrant can be used for a variety of applications, including: * Semantic search * Image search * Product recommendations * Chatbots * Anomaly detection Qdrant offers a variety of features, including: * Payload storage and filtering * Hybrid search with sparse vectors * Vector quantization and on-disk storage * Distributed deployment * Highlighted features such as query planning, payload indexes, SIMD hardware acceleration, async I/O, and write-ahead logging Qdrant is available as a fully managed cloud service or as an open-source software that can be deployed on-premises.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

Nanobrowser is an open-source AI web automation tool that runs in your browser. It is a free alternative to OpenAI Operator with flexible LLM options and a multi-agent system. Nanobrowser offers premium web automation capabilities while keeping users in complete control, with features like a multi-agent system, interactive side panel, task automation, follow-up questions, and multiple LLM support. Users can easily download and install Nanobrowser as a Chrome extension, configure agent models, and accomplish tasks such as news summary, GitHub research, and shopping research with just a sentence. The tool uses a specialized multi-agent system powered by large language models to understand and execute complex web tasks. Nanobrowser is actively developed with plans to expand LLM support, implement security measures, optimize memory usage, enable session replay, and develop specialized agents for domain-specific tasks. Contributions from the community are welcome to improve Nanobrowser and build the future of web automation.

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

ClearML Fractional GPU is a tool designed to optimize GPU resource utilization by allowing multiple containers to run on the same GPU with driver-level memory limitation and compute time-slicing. It supports CUDA 11.x & CUDA 12.x, preventing greedy processes from grabbing the entire GPU memory. The tool offers options like Dynamic GPU Slicing, Container-based Memory Limits, and Kubernetes-based Static MIG Slicing to enhance hardware utilization and workload performance for AI development.

Prime is a framework for efficient, globally distributed training of AI models over the internet. It includes features such as fault-tolerant training with ElasticDeviceMesh, asynchronous distributed checkpointing, live checkpoint recovery, custom Int8 All-Reduce Kernel, maximizing bandwidth utilization, PyTorch FSDP2/DTensor ZeRO-3 implementation, and CPU off-loading. The framework aims to optimize communication, checkpointing, and bandwidth utilization for large-scale AI model training.

Awesome Green AI is a curated list of resources and tools aimed at reducing the environmental impacts of using and deploying AI. It addresses the carbon footprint of the ICT sector, emphasizing the importance of AI in reducing environmental impacts beyond GHG emissions and electricity consumption. The tools listed cover code-based tools for measuring environmental impacts, monitoring tools for power consumption, optimization tools for energy efficiency, and calculation tools for estimating environmental impacts of algorithms and models. The repository also includes leaderboards, papers, survey papers, and reports related to green AI and environmental sustainability in the AI sector.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

cl-waffe2 is an experimental deep learning framework in Common Lisp, providing fast, systematic, and customizable matrix operations, reverse mode tape-based Automatic Differentiation, and neural network model building and training features accelerated by a JIT Compiler. It offers abstraction layers, extensibility, inlining, graph-level optimization, visualization, debugging, systematic nodes, and symbolic differentiation. Users can easily write extensions and optimize their networks without overheads. The framework is designed to eliminate barriers between users and developers, allowing for easy customization and extension.

The CryptoToken-Sender-Airdrop-Staking-Liquidity repository provides an ultimate tool for efficient and automated token distribution across blockchain wallets. It is designed for projects, DAOs, and blockchain-based organizations that need to distribute tokens to thousands of wallet addresses with ease. The platform offers advanced integrations with DeFi protocols for staking, liquidity farming, and automated payments. Users can send tokens in bulk, distribute tokens to multiple wallets instantly, optimize gas fees, integrate with DeFi protocols for liquidity provision and staking, set up recurring payments, automate liquidity farming strategies, support multi-chain operations, monitor transactions in real-time, and work with various token standards. The repository includes features for connecting to blockchains, importing and managing wallets, customizing mailing parameters, monitoring transaction status, logging transactions, and providing a user-friendly interface for configuration and operation.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

TurnkeyML is a tools framework that integrates models, toolchains, and hardware backends to simplify the evaluation and actuation of deep learning models. It supports use cases like exporting ONNX files, performance validation, functional coverage measurement, stress testing, and model insights analysis. The framework consists of analysis, build, runtime, reporting tools, and a models corpus, seamlessly integrated to provide comprehensive functionality with simple commands. Extensible through plugins, it offers support for various export and optimization tools and AI runtimes. The project is actively seeking collaborators and is licensed under Apache 2.0.

UMbreLLa is a tool designed for deploying Large Language Models (LLMs) for personal agents. It combines offloading, speculative decoding, and quantization to optimize single-user LLM deployment scenarios. With UMbreLLa, 70B-level models can achieve performance comparable to human reading speed on an RTX 4070Ti, delivering exceptional efficiency and responsiveness, especially for coding tasks. The tool supports deploying models on various GPUs and offers features like code completion and CLI/Gradio chatbots. Users can configure the LLM engine for optimal performance based on their hardware setup.

The `ai-models` command is a tool used to run AI-based weather forecasting models. It provides functionalities to install, run, and manage different AI models for weather forecasting. Users can easily install and run various models, customize model settings, download assets, and manage input data from different sources such as ECMWF, CDS, and GRIB files. The tool is designed to optimize performance by running on GPUs and provides options for better organization of assets and output files. It offers a range of command line options for users to interact with the models and customize their forecasting tasks.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

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

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