Best AI tools for< Skin Care Specialist >

Tibot is an online dermatologist consultation platform that offers AI-powered skin diagnosis and advice. Users can consult with expert dermatologists, track skin conditions, and learn about various skin problems using the free AI dermatology tool. The platform provides comprehensive information on skin disorders, hair disorders, and scalp disorders through a detailed Wiki. Tibot aims to raise awareness about skin conditions and promote preventive health measures through its integrated dermatology service.

Lovi is a comprehensive AI-driven skin care application that offers science-backed cosmetology services. It provides personalized skin health analysis, helps users set skincare goals, tracks changes with face scanning technology, and ensures cosmetic safety. With a focus on user health and well-being, Lovi offers expert skincare guidance, product recommendations, and answers to skincare-related questions. The application is designed to cater to individual skin needs, offering a unique approach to maintaining a healthy lifestyle through self-care.

Lushair is an AI-powered platform that offers personalized hair and scalp analysis solutions. It aims to create a digital and intelligent ecosystem for dermatology, providing accurate skin and scalp solutions that are accessible and affordable. Lushair offers services such as personal subscriptions, skin & scalp analysis SAAS, and skin & scalp analysis API for hair care specialists and brands. The platform features historical tracking, multi-node analysis, improved management, AI-generated hair care plans, and an easy-to-use interface. Lushair has received positive feedback for its standardization, customization, and intelligent services in the field of dermatology.

GlowPro is a cutting-edge AI-powered skin analysis and care application available for iOS and Android users. It offers personalized skin analysis, care recommendations, and real-time assessment to optimize skin health. Users can track their skin's progress, receive tailored skincare tips, and benefit from a personal AI skincare expert. GlowPro has received positive reviews for its transformative impact on skincare routines and ease of use.

Butterfly Wellness is a premier mental health brand focusing on chronic skin conditions. The website offers SHAMMAH, an AI assistant with Phd-level psychotherapeutic expertise to address stress, anxiety, and depression related to skin conditions like eczema, acne, rosacea, alopecia, and psoriasis. It aims to empower patients and healthcare professionals with science-backed solutions that connect mind and skin, pioneering the future of psychodermatology for everyone.

Healer is the first AI-clinic that offers accessible AI clinicians to help individuals with various health and lifestyle issues. Users can connect with specialized AI specialists 24/7 through the platform, covering areas such as allergology, dermatology, endocrinology, nutrition, sexology, and therapy. Healer aims to provide on-demand support for a healthy and mindful lifestyle, offering guidance on a wide range of topics related to well-being and self-care.

LuxAuraAI is an AI-powered platform that helps users discover their perfect skincare routine through a personalized quiz. By leveraging expert knowledge and science-backed results, LuxAuraAI provides tailored skincare recommendations based on individual skin needs. The platform aims to simplify the process of finding suitable skincare products by incorporating insights from dermatologists and skincare experts. LuxAuraAI is designed to offer a convenient and effective solution for those seeking a skincare regimen that is both personalized and backed by scientific research.

Skinive is an AI-powered dermatology app that provides users with a personalized skin analysis and treatment plan. The app uses a combination of computer vision and machine learning to identify and track skin conditions, such as acne, rosacea, and skin cancer. Skinive also offers a variety of features to help users improve their skin health, such as a personalized skincare routine, a skin diary, and access to a team of dermatologists. Skinive is available as a mobile app and a web app.

yshade.ai is an AI-powered beauty technology platform that offers cutting-edge AI models tailored for every skin tone. Their predictive models expertly match consumers with their ideal shades, while generative models revolutionize virtual try-ons. The platform also features an AI agent named Aiysha, available on WhatsApp, to provide personalized beauty recommendations and virtual try-on experiences. With a focus on inclusivity, yshade.ai ensures comprehensive representation of all skin shades through innovative predictive and generative AI models.

SkinGenie is a skincare routine generator powered by GPT-4, the world's most powerful artificial intelligence model. By answering a few questions about your skin type and concerns, you can receive personalized skincare recommendations tailored just for you.

TTcare is a health care application designed for pets, offering a convenient way for pet owners to monitor the health of their dogs or cats using AI technology. Users can simply take pictures of their pet's eyes and skin to check for any abnormal symptoms, with an accuracy level of over 90%. The app provides veterinarian advice, online consultations, and information on local veterinary hospitals. TTcare is the world's first mobile application that can identify symptoms of diseases, with patent registered medical device software approved by the Korean Ministry of Agriculture, Food and Rural Affairs.

GlowAI is a skincare routine generator that uses artificial intelligence to create personalized skincare routines based on your budget, skin type, and skin concerns. It is powered by the OpenAI team and is designed to help you find the best skincare products for your individual needs.

GlowAI is a skincare routine generator that uses artificial intelligence to create personalized skincare routines based on your budget, skin type, and skin concerns. It is powered by the OpenAI team and is designed to help you find the best skincare products for your individual needs.

Glowy AI is a personalized skincare treatment app that provides users with tailored skincare plans based on their unique skin concerns and goals. The app uses AI to analyze users' skin and provide them with personalized recommendations for products and routines. Glowy AI also offers expert consultation from dermatologists and a community forum where users can connect with others and share tips and advice.

Mapmygenome is an AI-powered platform that offers DNA testing products for health, fitness, and beauty. It provides personalized insights based on genetic analysis to help individuals make informed decisions about their health, wellness, and lifestyle choices. With over 23 years of genomics experience and the latest sequencing technology, Mapmygenome aims to empower users to take proactive steps towards improving their overall well-being.

SpoiledChild is a skincare and haircare brand that uses AI to personalize product recommendations for its customers. The company's products are designed to help people look and feel younger, and they are made with high-quality ingredients that are free of harsh chemicals. SpoiledChild offers a wide range of products, including serums, moisturizers, masks, and supplements. The company also has a team of experts who can provide personalized advice on how to use their products. SpoiledChild is committed to sustainability, and they use recycled materials in their packaging and offer a refill program for their products.

Glowup AI is an innovative AI tool that allows users to discover their unique beauty potential through advanced facial analysis technology. By uploading a photo, users can receive personalized recommendations for enhancing their features and achieving their desired look. The app provides insights on skincare, makeup techniques, and hairstyle suggestions tailored to individual facial characteristics. With its user-friendly interface and accurate results, Glowup AI is revolutionizing the beauty industry by empowering users to explore and enhance their natural beauty effortlessly.

LooksMaxx Report is an AI-powered application designed to assist users in enhancing their appearance and achieving a 'glow up'. By leveraging advanced algorithms and image processing technology, the app provides personalized recommendations and insights to help individuals improve their physical attractiveness. Users can access a range of features such as virtual makeovers, facial symmetry analysis, hairstyle suggestions, and skincare tips. With its user-friendly interface and cutting-edge AI capabilities, LooksMaxx Report aims to empower users to boost their confidence and refine their aesthetic appeal.

Medgic is an advanced Artificial Intelligence (AI) tool designed to scan, analyze, and detect skin problems using powerful AI technology. Users can easily upload a photo of their skin condition and receive quick results and friendly advice without the need for human intervention. The tool aims to reimagine medicine by leveraging AI to provide general information for educational purposes, although it is not a replacement for professional medical consultation.

SkinGenerator.io is an AI-powered Minecraft Skin Generator that allows users to create custom skins for the popular video game Minecraft. By providing a text prompt, the tool uses generative art models to generate unique in-game skins. Users can choose from different subscription plans to access additional skin generations and new models. The website also provides FAQs to help users understand the tool's functionality and offers exclusive updates and features for subscribers.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

FuseMedML is a Python framework designed to accelerate machine learning-based discovery in the medical field by promoting code reuse. It provides a flexible design concept where data is stored in a nested dictionary, allowing easy handling of multi-modality information. The framework includes components for creating custom models, loss functions, metrics, and data processing operators. Additionally, FuseMedML offers 'batteries included' key components such as fuse.data for data processing, fuse.eval for model evaluation, and fuse.dl for reusable deep learning components. It supports PyTorch and PyTorch Lightning libraries and encourages the creation of domain extensions for specific medical domains.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

RetouchGPT is a novel framework designed for interactive face retouching using Large Language Models (LLMs). It leverages instruction-driven imperfection prediction and LLM-based embedding to guide the retouching process. The tool allows users to interactively modify imperfection features in face images, achieving high-fidelity retouching results. RetouchGPT outperforms existing methods by integrating textual and visual features to accurately identify imperfections and replace them with normal skin features.

ComfyUI Portrait Master 3.1 is a tool designed to assist AI image creators in generating prompts for human portraits. The tool offers various modules for customizing character details such as base character, skin details, style & pose, and makeup. Users can control parameters like shot type, gender, age, ethnicity mix, body type, facial features, hair details, skin imperfections, and more to create unique portrait prompts. The tool aims to enhance photorealism and provide a user-friendly interface for generating portrait prompts efficiently.

GPUPixel is a real-time, high-performance image and video filter library written in C++11 and based on OpenGL/ES. It incorporates a built-in beauty face filter that achieves commercial-grade beauty effects. The library is extremely easy to compile and integrate with a small size, supporting platforms including iOS, Android, Mac, Windows, and Linux. GPUPixel provides various filters like skin smoothing, whitening, face slimming, big eyes, lipstick, and blush. It supports input formats like YUV420P, RGBA, JPEG, PNG, and output formats like RGBA and YUV420P. The library's performance on devices like iPhone and Android is optimized, with low CPU usage and fast processing times. GPUPixel's lib size is compact, making it suitable for mobile and desktop applications.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

The 'pictureChange' repository is a plugin that supports image processing using Baidu AI, stable diffusion webui, and suno music composition AI. It also allows for file summarization and image summarization using AI. The plugin supports various stable diffusion models, administrator control over group chat features, concurrent control, and custom templates for image and text generation. It can be deployed on WeChat enterprise accounts, personal accounts, and public accounts.

This repository contains the source code for the userspace level runtime driver for Coral devices. The software is distributed in binary form at coral.ai/software. Users can build the library using Docker + Bazel, Bazel, or Makefile methods. It supports building on Linux, macOS, and Windows. The library is used to enable the Edge TPU runtime, which may heat up during operation. Google does not accept responsibility for any loss or damage if the device is operated outside the recommended ambient temperature range.

X-AnyLabeling is a robust annotation tool that seamlessly incorporates an AI inference engine alongside an array of sophisticated features. Tailored for practical applications, it is committed to delivering comprehensive, industrial-grade solutions for image data engineers. This tool excels in swiftly and automatically executing annotations across diverse and intricate tasks.

DataDreamer is an advanced toolkit designed to facilitate the development of edge AI models by enabling synthetic data generation, knowledge extraction from pre-trained models, and creation of efficient and potent models. It eliminates the need for extensive datasets by generating synthetic datasets, leverages latent knowledge from pre-trained models, and focuses on creating compact models suitable for integration into any device and performance for specialized tasks. The toolkit offers features like prompt generation, image generation, dataset annotation, and tools for training small-scale neural networks for edge deployment. It provides hardware requirements, usage instructions, available models, and limitations to consider while using the library.

Wenda is a platform for large-scale language model invocation designed to efficiently generate content for specific environments, considering the limitations of personal and small business computing resources, as well as knowledge security and privacy issues. The platform integrates capabilities such as knowledge base integration, multiple large language models for offline deployment, auto scripts for additional functionality, and other practical capabilities like conversation history management and multi-user simultaneous usage.

SUPIR is an AI-based image processing and upscaling tool that leverages cutting-edge technology to enhance image quality and resolution. The tool provides users with the ability to upscale images with high generalization and quality, as well as specific settings for light degradation scenarios. It offers a range of models and checkpoints for different use cases, along with detailed instructions for installation and usage. SUPIR also includes features for color fixing, linear CFG adjustments, and various prompts for image enhancement. The tool is designed for non-commercial use only and comes with a contact email for inquiries and permission requests for commercial use.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

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