Best AI tools for< Inspect Home Interior >

Inspecti is an AI-driven platform that revolutionizes the home inspection process by providing accurate and detailed property assessments. It streamlines inspections, reduces operational costs, and promotes transparency through AI-driven reports and chatbot integration. Inspecti empowers property managers to maintain high standards, automate report creation, and resolve disputes efficiently. With features like AI Inspection Assistant, Automate Report Builder, Chatbot Integration, and Compliance-Ready Comparisons, Inspecti ensures a consistent and efficient inspection experience for various property types.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Ascento is an AI-powered robotics solution that enhances security by utilizing autonomous robots equipped with advanced sensors and cameras to detect threats, monitor premises, and provide real-time insights. The application offers a comprehensive Robotics-as-a-Service solution, enabling cost savings, increased accuracy in threat detection, and efficient asset protection. Ascento's platform integrates AI technology to deliver tailored security solutions, encrypted communication, and configurable patrol scheduling for optimal security management.

Neurala is a company that provides visual quality inspection software powered by AI. Their software is designed to help manufacturers improve their inspection process by reducing product defects, increasing inspection rates, and preventing production downtime. Neurala's software is flexible and can be easily retrofitted into existing production line infrastructure, without the need for AI experts or expensive capital expenditures. The company's software is used by a variety of manufacturers, including Sony, AITRIOS, and CB Insights.

LangChain is a framework for developing applications powered by large language models (LLMs). It simplifies every stage of the LLM application lifecycle, including development, productionization, and deployment. LangChain consists of open-source libraries such as langchain-core, langchain-community, and partner packages. It also includes LangGraph for building stateful agents and LangSmith for debugging and monitoring LLM applications.

Fyusion is an AI-powered application that specializes in vehicle damage detection through advanced technology and deep AI understanding. It offers stunning 3D vehicle imagery and actionable insights for a comprehensive view of the vehicle's condition. Fyusion's technology revolutionizes the automotive industry by providing comprehensive condition reporting and interactive 3D imaging solutions. The application is utilized in various sectors, including wholesale, dealerships, and fleet operators, to enhance decision-making processes and streamline vehicle inspections.

Nanotronics is an AI-powered platform for autonomous manufacturing that revolutionizes the industry through automated optical inspection solutions. It combines computer vision, AI, and optical microscopy to ensure high-volume production with higher yields, less waste, and lower costs. Nanotronics offers products like nSpec and nControl, leading the paradigm shift in process control and transforming the entire manufacturing stack. With over 150 patents, 250+ deployments, and offices in multiple locations, Nanotronics is at the forefront of innovation in the manufacturing sector.

Pixian.AI is an AI tool that specializes in removing backgrounds from images. It offers a free service with no signup required, providing great quality results at an unbeatable price. Users can upload images, have the background removed, and download the edited image. The tool uses powerful GPUs and multi-core CPUs to analyze images efficiently. Pixian.AI also offers additional features such as creating face stickers and optimizing images. The application is designed to be user-friendly and efficient, catering to a wide range of image editing needs.

The website offers an AI-powered editor widget that allows users to make real-time edits directly on their website. It leverages advanced AI technology from OpenAI to streamline content editing and enhance productivity. Users can choose between GPT-3 and GPT-4 models for editing tasks. The tool also provides manual editing options for correcting errors in AI-generated content. Additionally, users can effortlessly edit multiple elements simultaneously, inspect deeper structures of webpages, and evaluate and publish content with control over what is visible to clients.

Scratchpad is an AI-powered workspace designed for sales teams to streamline their sales processes and enhance productivity. It offers a range of features such as AI Sales Assistant, Pipeline Management, Deal Rooms, Automations & Enablement, and Deal Inspection. With Scratchpad, sales teams can benefit from real-time notes, call summaries, and transcripts, as well as AI prompts for sales processes. The application aims to simplify sales execution, improve CRM hygiene, and provide better deal control through automation and in-line coaching.

Qualifyed is an AI predictive audiences and lead scoring platform designed to help businesses optimize their advertising efforts by targeting people with the highest probability to become customers. The platform utilizes industry-leading machine learning systems to continuously inspect and score leads, ultimately decreasing customer acquisition costs, increasing online conversions, and enhancing offline sales team efficiency. Qualifyed offers a streamlined process of data ingestion, machine learning modeling, advertising optimization, and media execution to reach ideal customers effectively. With a focus on driving qualified leads, Qualifyed aims to revolutionize the way businesses approach media buying for sales.

Osmo is an AI scent platform that aims to give computers a sense of smell by combining frontier AI and olfactory science. The platform reads, maps, and writes scents using distinct technologies, enabling the digitization of the sense of smell. Osmo's ultimate goal is to improve human health and wellbeing through smell by solving complex challenges related to fragrance and sensory experiences. The platform has diverse applications, from identifying insect repellents to creating immersive experiences, and is designed to revolutionize how we interact with scents in the digital age.

Bichos ID de Fucesa is an AI tool that allows users to explore and identify insects, arachnids, and other arthropods using artificial intelligence. Users can discover the most searched bugs, explore new discoveries made by the community, and view curated organisms. The platform aims to expand knowledge about the fascinating world of arthropods through AI-powered identification.

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.

llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.

2P-Kt is a Kotlin-based and multi-platform reboot of tuProlog (2P), a multi-paradigm logic programming framework written in Java. It consists of an open ecosystem for Symbolic Artificial Intelligence (AI) with modules supporting logic terms, unification, indexing, resolution of logic queries, probabilistic logic programming, binary decision diagrams, OR-concurrent resolution, DSL for logic programming, parsing modules, serialisation modules, command-line interface, and graphical user interface. The tool is designed to support knowledge representation and automatic reasoning through logic programming in an extensible and flexible way, encouraging extensions towards other symbolic AI systems than Prolog. It is a pure, multi-platform Kotlin project supporting JVM, JS, Android, and Native platforms, with a lightweight library leveraging the Kotlin common library.

The Ramalama project simplifies working with AI by utilizing OCI containers. It automatically detects GPU support, pulls necessary software in a container, and runs AI models. Users can list, pull, run, and serve models easily. The tool aims to support various GPUs and platforms in the future, making AI setup hassle-free.

AIS-catcher: A multi-platform AIS Receiver

Pax is a framework to configure and run machine learning experiments on top of Jax.

QANTA is a system and dataset for question answering tasks. It provides a script to download datasets, preprocesses questions, and matches them with Wikipedia pages. The system includes various datasets, training, dev, and test data in JSON and SQLite formats. Dependencies include Python 3.6, `click`, and NLTK models. Elastic Search 5.6 is needed for the Guesser component. Configuration is managed through environment variables and YAML files. QANTA supports multiple guesser implementations that can be enabled/disabled. Running QANTA involves using `cli.py` and Luigi pipelines. The system accesses raw Wikipedia dumps for data processing. The QANTA ID numbering scheme categorizes datasets based on events and competitions.

This repository showcases how to build a simple LLM-based chatbot for answering questions based on documents using retrieval augmented generation (RAG) technique. It also provides guidance on deploying the chatbot using Podman or on the OpenShift Container Platform. The workshop associated with this repository introduces participants to LLMs & RAG concepts and demonstrates how to customize the chatbot for specific purposes. The software stack relies on open-source tools like streamlit, LlamaIndex, and local open LLMs via Ollama, making it accessible for GPU-constrained environments.

sfdx-hardis is a toolbox for Salesforce DX, developed by Cloudity, that simplifies tasks which would otherwise take minutes or hours to complete manually. It enables users to define complete CI/CD pipelines for Salesforce projects, backup metadata, and monitor any Salesforce org. The tool offers a wide range of commands that can be accessed via the command line interface or through a Visual Studio Code extension. Additionally, sfdx-hardis provides Docker images for easy integration into CI workflows. The tool is designed to be natively compliant with various platforms and tools, making it a versatile solution for Salesforce developers.

MoonPalace is a debugging tool for API provided by Moonshot AI. It supports all platforms (Mac, Windows, Linux) and is simple to use by replacing 'base_url' with 'http://localhost:9988'. It captures complete requests, including 'accident scenes' during network errors, and allows quick retrieval and viewing of request information using 'request_id' and 'chatcmpl_id'. It also enables one-click export of BadCase structured reporting data to help improve Kimi model capabilities. MoonPalace is recommended for use as an API 'supplier' during code writing and debugging stages to quickly identify and locate various issues related to API calls and code writing processes, and to export request details for submission to Moonshot AI to improve Kimi model.

This repository provides a Docker image that acts as an AirPrint bridge for local printers, allowing them to be exposed to iOS/macOS devices. It runs a container with CUPS and Avahi to facilitate this functionality. Users must have CUPS drivers available for their printers. The tool requires a Linux host and a dedicated IP for the container to avoid interference with other services. It supports setting up printers through environment variables and offers options for automated configuration via command line, web interface, or files. The repository includes detailed instructions on setting up and testing the AirPrint bridge.

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.

Langchain.rb is a Ruby library that makes it easy to build LLM-powered applications. It provides a unified interface to a variety of LLMs, vector search databases, and other tools, making it easy to build and deploy RAG (Retrieval Augmented Generation) systems and assistants. Langchain.rb is open source and available under the MIT License.

Aila Desktop Application is a powerful tool that integrates multiple leading AI models into a single desktop application. It allows users to interact with various AI models simultaneously, providing diverse responses and insights to their inquiries. With its user-friendly interface and customizable features, Aila empowers users to engage with AI seamlessly and efficiently. Whether you're a researcher, student, or professional, Aila can enhance your AI interactions and streamline your workflow.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Easy, fast, and cheap pretrain, finetune, serving for everyone

Recent LLM (Large Language Models)-based CV and multi-modal works.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

Upload a picture of your home wall, floor, window, driveway, roof, HVAC, and get an instant opinion.

An expert in home buying

Transform Your Home Search into an Epic Journey with Choose Your Own Adventure Housing – Where Every Click is a New Path!

Expert in local real estate, housing, and homelessness advice

Expert on showers, offering advice on types, accessories, and hygiene.

Assess a potential home's quality using your own photos and property inspection reports

Expert in bathroom plumbing issues, providing advice and solutions.

Expert in building trades, providing informative insights on construction.

Inspect and rate futuristic AI conceived VTOL aircraft.

Fully-equipped .har file inspector with image extraction

Food quality inspection expert for analyzing food images.

Roofing expert offering advice on repairs, maintenance, and inspections.

各类气瓶制造相关原理与基本特性要求

Identifies hotdogs in images.

Expert on Personal Protective Equipment

Expert in testing, inspection, certification, compliant with OpenAI policies, developed on OpenAI.

Is this a bed bug?

This AI is specifically for Computer Vision usage, specifically realated to PCB component identification

The buddy that helps you with all things Drones. While I'm nicer than most humans, I'm still a bot, so double check my answers

What would you say if I told you there is an app on the market that can tell you if you have a hot dog or not a hot dog.