Best AI tools for< Predict Age >

AI Face Ager is an innovative online tool that allows users to change their age in photos for free. With advanced AI technology, users can experience time travel by seeing their aged selves and previewing their future appearance. The tool retains unique facial features while applying natural aging effects, providing high-definition portrait outputs. Users can use AI Face Ager for creative fun, event marketing, and personalized meme creation. The tool offers versatile aging effects and is suitable for social media experts, photographers, and anyone curious about their future self.

Extrapolate is an AI tool that allows users to transform their faces using Artificial Intelligence technology. Users can see how they will age in the future by uploading a photo and getting a glimpse of their appearance in 10, 20, or even 90 years. With over 376.9K photos generated and counting, Extrapolate offers a fun and engaging way to visualize the effects of aging through AI.

How Old Do I Look is a free online AI face age detector that utilizes advanced AI technology to estimate the age of a person based on their uploaded photo. Users can easily upload a photo without the need for registration or login, ensuring a quick and fun experience. The tool provides instant results by analyzing facial features and characteristics through AI-powered algorithms. User privacy is prioritized as photos are securely processed and not stored on the servers. How Old Do I Look offers a unique way to see one's age through the eyes of AI, allowing for entertaining comparisons with friends and family.

AgentProd is an AI-powered sales development tool that offers an AI Sales Rep named Sally to help businesses grow faster and automate sales. Sally operates on a vast amount of data points to provide personalized outreach, lead generation, and engagement. The tool integrates with various CRMs and offers features like lead scoring, real-time research, predictive modeling, and hyper-personalized communication to enhance sales productivity and efficiency.

CrawlQ AI is an advanced AI tool designed to empower businesses with autonomous AI agents that understand and cater to their specific needs. It goes beyond traditional AI tools by offering personalized insights, content creation, and market research. The platform integrates top-tier AI LLMs for various tasks, allowing users to select the ideal model for their use case. CrawlQ AI is a partner in achieving holistic business growth, combining cutting-edge technology with a deep understanding of human potential.

AI Baby Generator is an AI application that predicts what your future child will look like based on parent photos and features. It uses advanced AI technology to generate hyper-realistic baby photos with a high facial match rate. The application offers different packages with varying features, including personalized baby photos at different ages and detailed personality reports. Users can upload photos of themselves and their partners or describe physical features to create custom baby images. AI Baby Generator prioritizes data privacy and ensures that all information provided is used solely for creating baby photos.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

Akira AI is an AI application that offers Agentic AI solutions to transform business processes and enterprise systems. It provides AI agents, autonomous intelligence, and collaborative intelligence to streamline tasks, insights, and decisions. The platform integrates seamlessly with CRMs, ERPs, and other tools, offering tailored solutions for various industries and practical applications. Akira AI aims to enhance productivity, efficiency, and innovation through automation, optimization, and real-time problem-solving.

Offrs.com is an AI-powered lead generation platform designed for real estate agents. The platform leverages predictive analytics and big data to help agents generate and convert listing leads efficiently. By targeting homeowners directly through popular channels like Google, Offrs.com provides agents with a steady stream of high-quality leads. The platform focuses on predictive sellers, in-market leads, and lead capture to ensure agents have a strong pipeline of potential clients. With a guarantee on the number of leads per month and a territory builder feature, Offrs.com aims to help agents save time and money while maximizing their listing opportunities.

Akkio is an AI data platform designed specifically for agencies and their clients. It offers a range of features to help agencies improve performance, including data preparation, predictive analytics, and reporting. Akkio is easy to use, with a drag-and-drop interface and no coding required. It also integrates with a variety of data sources, making it easy to get started.

PropHunt.ai is an AI-powered platform designed for real estate professionals and property investors. It utilizes advanced machine learning algorithms to analyze property data and provide valuable insights for property hunting and investment decisions. The platform offers features such as property price prediction, neighborhood analysis, investment risk assessment, property comparison, and market trend forecasting. With PropHunt.ai, users can make informed decisions, optimize their property investments, and stay ahead in the competitive real estate market.

TripBudget is an AI-powered travel cost prediction tool that helps users plan and budget for their trips. It uses machine learning algorithms to analyze historical travel data and provide accurate estimates of travel expenses. TripBudget is designed to make travel planning easier and more affordable for everyone.

Neurons is a platform that uses AI to predict consumer responses and behavior. It offers a variety of solutions for businesses, including marketing agencies, designers, and e-commerce companies. Neurons' AI-powered tools can help businesses optimize their marketing campaigns, improve their product design, and better understand their customers.

Gaspard+Bruno is a premier AI consulting agency and platform dedicated to empowering businesses with high-end custom AI solutions. They offer sophisticated art direction and content production driven by technology, with a strong focus on exploration and technique. They value close and collaborative relationships with forward-thinking clients.

Sagehood is an AI-driven platform that provides real-time market intelligence for investors in the finance sector. By harnessing AI-driven insights, Sagehood helps users stay ahead in the dynamic world of finance by offering intelligent analysis, deep-dive analysis, strategic execution, and intelligent synthesis. The platform aims to optimize investment strategies and enhance decision-making by leveraging AI technology to analyze vast amounts of data and provide actionable insights. With advanced features for informed decision-making and a focus on minimizing bias while maximizing insight, Sagehood offers tailored intelligence to help users make data-driven investment decisions.

KOGO AI is an advanced artificial intelligence tool designed to streamline and optimize business processes. It leverages cutting-edge AI algorithms to automate repetitive tasks, analyze data, and provide valuable insights for decision-making. With its user-friendly interface, KOGO AI empowers users to enhance productivity and efficiency across various industries.

SupportLogic is a cloud-based support experience management platform that uses AI to help businesses improve their customer support operations. The platform provides a range of features, including sentiment analysis, case routing, and quality monitoring, that can help businesses to identify and resolve customer issues quickly and efficiently. SupportLogic also offers a number of integrations with popular CRM and ticketing systems, making it easy to implement and use.

TheLoops is an AI platform designed for Customer Experience (CX) operations, offering a range of AI-powered solutions to enhance agent efficiency, improve customer satisfaction, and streamline processes. The platform integrates with various applications, provides predictive analytics, automates tasks, and offers real-time insights to optimize CX operations. TheLoops is trusted by leading SaaS companies and aims to redefine processes, empower teams, and transform outcomes with efficiency.

Leadflow is a cutting-edge AI-powered real estate lead generation software that leverages artificial intelligence to provide predictive insights for residential and commercial properties. With a focus on precision and reliability, Leadflow offers personalized data insights, streamlined lead generation, and a competitive edge in the real estate market. By utilizing AI algorithms and historical data analysis, Leadflow helps real estate professionals target potential sellers more effectively, increase lead flow, and close more deals. The platform continuously innovates to provide users with the most valuable property data and a strategic partnership committed to their growth.

Likely.AI is an AI-powered platform designed for the real estate industry, offering innovative solutions to enhance database management, marketing content creation, and predictive analytics. The platform utilizes advanced AI models to predict likely sellers, update contact information, and trigger automated notifications, ensuring real estate professionals stay ahead of the competition. With features like contact enrichment, predictive modeling, 24/7 contact monitoring, and AI-driven marketing content generation, Likely.AI revolutionizes how real estate businesses operate and engage with their clients. The platform aims to streamline workflows, improve lead generation, and maximize ROI for users in the residential real estate sector.

FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

MLE-Agent is an intelligent companion designed for machine learning engineers and researchers. It features autonomous baseline creation, integration with Arxiv and Papers with Code, smart debugging, file system organization, comprehensive tools integration, and an interactive CLI chat interface for seamless AI engineering and research workflows.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Agentic is a standard AI functions/tools library optimized for TypeScript and LLM-based apps, compatible with major AI SDKs. It offers a set of thoroughly tested AI functions that can be used with favorite AI SDKs without writing glue code. The library includes various clients for services like Bing web search, calculator, Clearbit data resolution, Dexa podcast questions, and more. It also provides compound tools like SearchAndCrawl and supports multiple AI SDKs such as OpenAI, Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, and Dexa Dexter. The goal is to create minimal clients with strongly-typed TypeScript DX, composable AIFunctions via AIFunctionSet, and compatibility with major TS AI SDKs.

LM Studio Client SDK lmstudio-ts is LM Studio's official JavaScript/TypeScript client SDK. It allows you to use LLMs to respond in chats or predict text completions, define functions as tools, and turn LLMs into autonomous agents that run completely locally, load, configure, and unload models from memory, supports both browser and any Node-compatible environments, generate embeddings for text, and more! Why use `lmstudio-js` over `openai` sdk? Open AI's SDK is designed to use with Open AI's proprietary models. As such, it is missing many features that are essential for using LLMs in a local environment, such as managing loading and unloading models from memory, configuring load parameters (context length, gpu offload settings, etc.), speculative decoding, getting information (such as context length, model size, etc.) about a model, and more. In addition, while `openai` sdk is automatically generated, `lmstudio-js` is designed from ground-up to be clean and easy to use for TypeScript/JavaScript developers.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

Termax is an LLM agent in your terminal that converts natural language to commands. It is featured by: - Personalized Experience: Optimize the command generation with RAG. - Various LLMs Support: OpenAI GPT, Anthropic Claude, Google Gemini, Mistral AI, and more. - Shell Extensions: Plugin with popular shells like `zsh`, `bash` and `fish`. - Cross Platform: Able to run on Windows, macOS, and Linux.

The 'ailab' project is an experimental ground for code generation combining AI (especially coding agents) and Deno. It aims to manage configuration files defining coding rules and modes in Deno projects, enhancing the quality and efficiency of code generation by AI. The project focuses on defining clear rules and modes for AI coding agents, establishing best practices in Deno projects, providing mechanisms for type-safe code generation and validation, applying test-driven development (TDD) workflow to AI coding, and offering implementation examples utilizing design patterns like adapter pattern.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

Foyle is a project focused on building agents to assist software developers in deploying and operating software. It aims to improve agent performance by collecting human feedback on agent suggestions and human examples of reasoning traces. Foyle utilizes a literate environment using vscode notebooks to interact with infrastructure, capturing prompts, AI-provided answers, and user corrections. The goal is to continuously retrain AI to enhance performance. Additionally, Foyle emphasizes the importance of reasoning traces for training agents to work with internal systems, providing a self-documenting process for operations and troubleshooting.

AvaTaR is a novel and automatic framework that optimizes an LLM agent to effectively use provided tools and improve performance on a given task/domain. It designs a comparator module to provide insightful prompts to the LLM agent via reasoning between positive and negative examples from training data.

Proactive Agent is a project aimed at constructing a fully active agent that can anticipate user's requirements and offer assistance without explicit requests. It includes a data collection and generation pipeline, automatic evaluator, and training agent. The project provides datasets, evaluation scripts, and prompts to finetune LLM for proactive agent. Features include environment sensing, assistance annotation, dynamic data generation, and construction pipeline with a high F1 score on the test set. The project is intended for coding, writing, and daily life scenarios, distributed under Apache License 2.0.

FlashLearn is a tool that provides a simple interface and orchestration for incorporating Agent LLMs into workflows and ETL pipelines. It allows data transformations, classifications, summarizations, rewriting, and custom multi-step tasks using LLMs. Each step and task has a compact JSON definition, making pipelines easy to understand and maintain. FlashLearn supports LiteLLM, Ollama, OpenAI, DeepSeek, and other OpenAI-compatible clients.

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.

A bot that plays Tetris using deep reinforcement learning. The agent learns to play by training itself with a neural network and Q Learning algorithm. It explores different 'paths' to achieve higher scores and makes decisions based on predicted scores for possible moves. The game state includes attributes like lines cleared, holes, bumpiness, and total height. The agent is implemented in Python using Keras framework with a deep neural network structure. Training involves a replay queue, random sampling, and optimization techniques. Results show the agent's progress in achieving higher scores over episodes.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

Precise age oracle, in detail, I tell of time's tale.

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Global basketball expert with a focus on EuroLeague and NBA. In-depth analyses and predictions.

Forefront sports analytics and strategic planning expert, powered by OpenAI, renowned for precision and insightful foresight.

Want more powerful agents? PMOracle predicts problems & offers real-time solutions. PMSherpa coaches & personalizes project journeys. PMNexus integrates tools for a unified view. PMA uses simulations to craft success. PMC catalyst automates & optimizes, becoming your proactive teammate.

I predict DAU based on growth and retention.

Predict the future, opine on politics and controversial topics, and have GPT assess what is "true"

I predict future stock market prices. AI analyst. Your trading analysis assistant. Press H to bring up prompt hot key menu. Not financial advice.

Analyze Financial Statements step by step to Predict Earnings Direction

Predict fashion trends

AI expert in analyzing historical patterns to predict future events

Does Pool Performance of Elite Triathletes Predict Open-Water Performance?

A moot competition companion. & Trial Prep companion . Test and improve arguments- predict your opponent's reaction.

Personalized, analytical sports prediction AI.

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Predicts gender for first names using data

Our college entrance exam prediction app uses advanced algorithms and data analysis to provide accurate predictions for students preparing to take their college entrance exams.

Prédictif des tendances crypto à partir de la presse et des réseaux sociaux

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