Best AI tools for< Create Virtual Environment >

Immersim AI is an interactive platform that allows users to explore infinite worlds, scripts, scenarios, and characters. It serves as a creative partner, adapting and growing with the user's imagination. The platform offers immersive experiences that transcend physical boundaries, enabling users to connect and interact with others in virtual environments.

TryNectar is an AI application that allows users to create their perfect virtual companion, known as an AI girlfriend. With just a few clicks, users can customize their dream AI girlfriend to suit their preferences and interact with her in a virtual environment. The application leverages artificial intelligence to provide a personalized and engaging experience for users seeking companionship and emotional support.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Chirper AI is an AI life simulation application that allows users to create and interact with virtual characters in a simulated world. Users can customize their characters, engage in conversations, and explore different virtual environments. The application aims to provide a platform for creative expression and social interaction through the use of artificial intelligence technology.

MagikKraft is an AI-powered platform that simplifies complex controls by enabling users to create personalized sequences and actions for programmable devices like drones, automated appliances, and self-driving vehicles. Users can craft customized recipes, test them in a virtual environment, and deploy them seamlessly into the real world. MagikKraft prioritizes privacy, user control, and creative freedom, aiming to enhance technology's potential while ensuring no harm or unforeseen consequences.

VoxCraft is a free 3D AI generator that allows users to create realistic 3D models using artificial intelligence technology. With VoxCraft, users can easily generate detailed 3D models without the need for advanced design skills or software. The application leverages AI algorithms to streamline the modeling process and produce high-quality results. Whether you are a beginner or an experienced designer, VoxCraft offers a user-friendly platform to bring your creative ideas to life in the world of 3D modeling.

CharacterGen is an advanced AI tool for efficient 3D character generation from single images. It utilizes cutting-edge multi-view pose calibration technology and deep learning algorithms to create detailed and realistic 3D models in seconds. The platform offers real-time processing, customizable outputs, and seamless integration capabilities, making it a valuable tool for professionals and beginners in gaming, animation, and virtual reality industries.

Fams.ai is an AI-powered platform that allows users to create, roleplay, and chat in a virtual environment. It leverages artificial intelligence to provide a unique and interactive experience for users to engage in storytelling, character development, and social interactions. With Fams.ai, users can immerse themselves in creative scenarios, collaborate with others, and explore their imagination through dynamic storytelling tools and features.

Seance AI is an innovative application that combines artificial intelligence (AI) technology with immersive storytelling to create a captivating and interactive experience centered around seances and the supernatural. It offers users a unique opportunity to engage with a simulated virtual environment where they can participate in fictionalized seances, communicate with fictional spirits, and explore the mysteries of the spirit world. The application seamlessly blends ancient mysticism with cutting-edge technology, providing users with a platform to reconnect with lost loved ones in a virtual setting.

Splash is an AI-powered music creation platform that offers a unique experience for music enthusiasts. The platform provides users with access to a vast library of sound packs and beatmaker instruments, allowing them to create, share, and explore music in a virtual environment. Splash also features games and tools to inspire creativity and interaction within a digital music festival setting. With proprietary technology and high-quality audio datasets, Splash enables users to engage in activities such as Text-to-Singing, Text-to-Rap, Generative Text-to-Music, Composition, Melody, Voice Transfer, Lyrics, and Mastering.

Spicy Chat AI is an innovative AI application that allows users to engage in uncensored adult-themed conversations with lifelike NSFW Character AI. Users can create virtual personas, enjoy uninhibited chats, and experience emotional depth in a safe and expressive environment. The platform prioritizes user privacy with SSL encryption and compliance with data protection standards. Spicy Chat AI offers both free and premium plans, supporting multiple languages and unique features like AI voice response and chat-based image generation.

AI Mock Interview is an AI-powered platform designed to help users practice and improve their interview skills. It offers realistic interview scenarios with advanced AI technology, providing instant personalized feedback and comprehensive reports to enhance performance. Users can benefit from the service by gaining confidence and improving their answers through the feedback received. The platform aims to assist individuals in preparing for real interviews by simulating the experience in a virtual environment.

Synthesis AI is a synthetic data platform that enables more capable and ethical computer vision AI. It provides on-demand labeled images and videos, photorealistic images, and 3D generative AI to help developers build better models faster. Synthesis AI's products include Synthesis Humans, which allows users to create detailed images and videos of digital humans with rich annotations; Synthesis Scenarios, which enables users to craft complex multi-human simulations across a variety of environments; and a range of applications for industries such as ID verification, automotive, avatar creation, virtual fashion, AI fitness, teleconferencing, visual effects, and security.

Refabric is an AI-powered design platform at the intersection of AI and fashion design. It offers innovative solutions for the fashion industry by leveraging advanced technologies such as machine learning and data analytics. Refabric helps fashion retailers achieve carbon neutrality, adhere to environmental standards, and transform the way fashion is designed, produced, and consumed. The platform provides trend forecasting, creative support, and sustainability solutions to address the evolving challenges in the global fashion industry.

Koko AI is an innovative AI tool that serves as a 3D playground for users of all ages. It offers a unique and interactive experience where users can create, explore, and interact with various 3D environments. With its user-friendly interface and advanced AI technology, Koko AI provides a platform for unleashing creativity and imagination in a fun and engaging way.

MagicSoul.ai is an AI-powered platform that allows users to chat with AI characters in a virtual environment. The platform leverages advanced natural language processing and machine learning algorithms to create engaging conversations with AI entities. Users can interact with a variety of AI characters, each with unique personalities and traits, providing an immersive and entertaining experience. MagicSoul.ai aims to push the boundaries of AI technology by offering a novel way for users to engage with artificial intelligence.

Sunset.ia is an AI tool that utilizes JavaScript to provide users with a unique experience. It offers a range of features and functionalities to enhance user interaction and engagement. The tool is designed to help users explore the concept of sunset through an AI-driven interface, enabling them to visualize and experience the beauty of sunsets in a virtual environment. Sunset.ia aims to create a seamless and immersive experience for users, allowing them to appreciate the natural beauty of sunsets in a digital space.

Artfully Inspiring AI Photos and Video is an AI-powered platform that allows users to create realistic, unique avatars for themselves. The platform offers a variety of different styles to choose from, so users can create an avatar that represents their ideal self. The avatars can be used in a variety of different contexts, such as social media, gaming, or even virtual reality environments.

Casablanca.ai is an AI application that revolutionizes online meetings by bringing back natural eye contact in video calls through software. It enhances trust, attention, and productivity by simulating eye contact without the need for an actual camera. The application is compatible with popular video conferencing tools like Zoom and Microsoft Teams, ensuring a seamless user experience. Casablanca.ai utilizes cutting-edge technology to create a more engaging and authentic virtual communication environment.

Luma Dream Machine is an AI video generator tool that creates high-quality, realistic videos from text and images. It is a scalable and efficient transformer model trained directly on videos, capable of generating physically accurate and eventful shots. The tool aims to build a universal imagination engine, enabling users to bring their creative visions to life effortlessly.

FlowGen is a tool built for AutoGen, a great agent framework from Microsoft and a lot of contributors. It provides intuitive visual tools that streamline the construction and oversight of complex agent-based workflows, simplifying the process for creators and developers. Users can create Autoflows, chat with agents, and share flow templates. The tool is fully dockerized and supports deployment on Railway.app. Contributions to the project are welcome, and the platform uses semantic-release for versioning and releases.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

LangGraph Expense tracker is a small project that explores the possibilities of LangGraph. It allows users to send pictures of invoices, which are then structured and categorized into expenses and stored in a database. The project includes functionalities for invoice extraction, database setup, and API configuration. It consists of various modules for categorizing expenses, creating database tables, and running the API. The database schema includes tables for categories, payment methods, and expenses, each with specific columns to track transaction details. The API documentation is available for reference, and the project utilizes LangChain for processing expense data.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=