Best AI tools for< Detect Project Automatically >

GitBrain is an AI-powered Git client designed for Mac users. It simplifies the Git workflow by offering features such as AI commit messages, code splitting, self-code review, auto-detection of projects from favorite IDEs, and a keyboard-friendly design. The application aims to enhance developer productivity by intelligently managing code changes and providing a seamless Git management experience. GitBrain is optimized for Mac performance with a native UI, lightweight design, and customizable themes.

Vibely is an AI-powered application that seamlessly integrates with Google Calendar to automatically record and log product feedback from Zoom calls. It offers features such as automatic recording of Zoom calls, summarizing team calls, detecting feature requests using AI, providing insights based on past calls, and cost-effective pricing compared to competitors. With Vibely, users can enhance collaboration, sharing, and learning from their calls effortlessly.

Copyright Check AI is a service that helps protect brands from legal disputes related to copyright violations on social media. The software automatically detects copyright infringements on social profiles, reducing the risk of costly legal action. It is used by Heads of Marketing and In-House Counsel at top brands to avoid lawsuits and potential damages. The service offers a done-for-you audit to highlight violations, deliver reports, and provide ongoing monitoring to ensure brand protection.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Nightfall AI is a comprehensive data security platform that leverages AI technology to provide advanced data protection solutions. The platform offers features such as data loss prevention, data protection, and data privacy for AI applications. Nightfall AI helps organizations prevent secrets sprawl, data exfiltration, and safeguard personal information across various industries. With a focus on compliance and security, Nightfall AI enables secure AI usage and encrypts sensitive data automatically. The platform is designed to eliminate blind spots in data security and offers a better way to scan, detect, and remediate data risks effectively.

Clickmoat is an AI-based ad fraud and click-fraud detection software. It protects Google Ads and Facebook campaigns by using industry-leading detection algorithms to block fraudulent IPs automatically. Clickmoat's services include identifying worthless clicks, providing full control over protection, offering extensive analytics, and ensuring a user-friendly interface. With its reasonable pricing and 24/7 support, Clickmoat helps businesses safeguard their advertising campaigns and maximize their return on investment.

Bleep Censor AI is an innovative tool designed to help content creators and video producers easily censor profanity in their videos. By utilizing artificial intelligence technology, the application automatically detects and censors any offensive language, ensuring that the content remains suitable for all audiences. With a user-friendly interface and efficient processing capabilities, Bleep Censor AI streamlines the editing process and allows creators to focus on producing high-quality content without the worry of demonetization or negative feedback.

InVID is a knowledge verification platform that helps detect emerging stories and assess the reliability of newsworthy video files and content spread via social media. It provides tools and services to help users verify the authenticity of videos and identify potential misinformation.

LotseAI is an AI-powered program management tool designed to streamline projects, align teams, and enhance decision-making. It offers secure integrations with popular tools like Notion, Google Docs, Jira, Trello, Asana, Slack, and more. LotseAI provides features such as effortless information retrieval, seamless tool integration, AI-powered reporting & insights, and dynamic tools for dynamic leaders. It helps users free up time from manual tasks, stay ahead of potential roadblocks, and keep stakeholders informed and engaged.

Landing AI is a computer vision platform and AI software company that provides a cloud-based platform for building and deploying computer vision applications. The platform includes a library of pre-trained models, a set of tools for data labeling and model training, and a deployment service that allows users to deploy their models to the cloud or edge devices. Landing AI's platform is used by a variety of industries, including automotive, electronics, food and beverage, medical devices, life sciences, agriculture, manufacturing, infrastructure, and pharma.

CodexAtlas is an AI-powered tool designed to automate code documentation processes. It leverages the latest advancements in Artificial Intelligence to generate and maintain documentation for software projects, freeing developers from the time-consuming task of writing documentation. With features like real-time updates, onboarding time reduction, and use-case detection, CodexAtlas aims to streamline the documentation process and enhance developer productivity. The tool also offers code conversion capabilities, business domain knowledge integration, and the option for on-premise deployment to cater to diverse organizational needs.

Senior AI is a platform that leverages Artificial Intelligence to help individuals and companies develop and manage software products more efficiently and securely. It offers codebase awareness, bug analysis, security optimization, and productivity enhancements, making software development faster and more reliable. The platform provides different pricing tiers suitable for individuals, power users, small teams, growing teams, and large teams, with the option for enterprise solutions. Senior AI aims to supercharge software development with an AI-first approach, guiding users through the development process and providing tailored code suggestions and security insights.

viAct.ai is an AI-powered Construction Management Software and App that utilizes computer vision and video analytics for workplace safety. The platform offers scenario-based AI vision technology to simplify monitoring processes, automate construction management, and enhance safety measures on construction sites. viAct.ai has been recognized for its innovative technology and has received several awards for its contribution to the construction industry.

Groupthink is an AI-powered meeting assistant that helps teams have more productive and efficient meetings. It offers features such as real-time meeting notes, task detection, meeting recaps, and the ability to introspect with LLM chat as the meeting happens. Groupthink also integrates with popular video conferencing platforms such as Zoom, Microsoft Teams, and Google Meet.

AI Clearing is an AI-powered construction progress monitoring tool that specializes in digital field construction progress tracking. The platform leverages machine learning technology and drone-captured data to generate comprehensive 3D site reports, automate advanced geospatial analytics, and provide actionable insights through interactive dashboards and PDF reports. AI Clearing aims to streamline progress monitoring, reduce re-work costs, mitigate litigation risks, and improve communication with stakeholders in the construction industry.

Cogniflow is a no-code AI platform that allows users to build and deploy custom AI models without any coding experience. The platform provides a variety of pre-built AI models that can be used for a variety of tasks, including customer service, HR, operations, and more. Cogniflow also offers a variety of integrations with other applications, making it easy to connect your AI models to your existing workflow.

GiteAI is an AI-powered tool designed to enhance collaboration and productivity for software development teams. It leverages machine learning algorithms to automate code reviews, identify bugs, and suggest improvements in real-time. With GiteAI, developers can streamline their workflow, reduce manual efforts, and ensure code quality. The platform integrates seamlessly with popular version control systems like GitHub, GitLab, and Bitbucket, providing actionable insights and analytics to drive continuous improvement.

The Deepfake Detection Challenge Dataset is a project initiated by Facebook AI to accelerate the development of new ways to detect deepfake videos. The dataset consists of over 100,000 videos and was created in collaboration with industry leaders and academic experts. It includes two versions: a preview dataset with 5k videos and a full dataset with 124k videos, each featuring facial modification algorithms. The dataset was used in a Kaggle competition to create better models for detecting manipulated media. The top-performing models achieved high accuracy on the public dataset but faced challenges when tested against the black box dataset, highlighting the importance of generalization in deepfake detection. The project aims to encourage the research community to continue advancing in detecting harmful manipulated media.

ZeroThreat is a web app and API security scanner that helps businesses identify and fix vulnerabilities in their web applications and APIs. It uses a combination of static and dynamic analysis techniques to scan for a wide range of vulnerabilities, including OWASP Top 10, CWE Top 25, and SANS Top 25. ZeroThreat also provides continuous monitoring and alerting, so businesses can stay on top of new vulnerabilities as they emerge.

Erasa is an AI-driven content protection tool designed to help creators protect their content from leaks and unauthorized sharing. It offers fast leak detection and removal, continuous monitoring, instant takedowns, and daily reports to ensure content remains secure. Erasa is a creator-friendly solution with a high success rate in removing leaked content globally.

Open dubbing is an AI dubbing system that uses machine learning models to automatically translate and synchronize audio dialogue into different languages. It is designed as a command line tool. The project is experimental and aims to explore speech-to-text, text-to-speech, and translation systems combined. It supports multiple text-to-speech engines, translation engines, and gender voice detection. The tool can automatically dub videos, detect source language, and is built on open-source models. The roadmap includes better voice control, optimization for long videos, and support for multiple video input formats. Users can post-edit dubbed files by manually adjusting text, voice, and timings. Supported languages vary based on the combination of systems used.

Feeds Fun is a self-hosted news reader tool that automatically assigns tags to news entries. Users can create rules to score news based on tags, filter and sort news as needed, and track read news. The tool offers multi/single-user support, feeds management, and various features for personalized news consumption. Users can access the tool's backend as the ffun package on PyPI and the frontend as the feeds-fun package on NPM. Feeds Fun requires setting up OpenAI or Gemini API keys for full tag generation capabilities. The tool uses tag processors to detect tags for news entries, with options for simple and complex processors. Feeds Fun primarily relies on LLM tag processors from OpenAI and Google for tag generation.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

Anki AI Utils is a powerful suite of AI-powered tools designed to enhance your Anki flashcard learning experience by automatically improving cards you struggle with. The tools include features such as adaptive learning, personalized memory hooks, automation readiness, universal compatibility, provider agnosticism, and infinite extensibility. The toolkit consists of tools like Illustrator for creating custom mnemonic images, Reformulator for rephrasing flashcards, Mnemonics Creator for generating memorable mnemonics, Explainer for providing detailed explanations, and Mnemonics Helper for quick mnemonic generation. The project aims to motivate others to package the tools into addons for wider accessibility.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses an Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. The tool supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled languages. It generates JUnit tests, detects faults, handles SQL databases, and supports authentication. EvoMaster has been funded by the European Research Council and the Research Council of Norway.

The LlamaEdge project makes it easy to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally. It provides a Rust+Wasm stack for fast, portable, and secure LLM inference on heterogeneous edge devices. The project includes source code for text generation, chatbot, and API server applications, supporting all LLMs based on the llama2 framework in the GGUF format. LlamaEdge is committed to continuously testing and validating new open-source models and offers a list of supported models with download links and startup commands. It is cross-platform, supporting various OSes, CPUs, and GPUs, and provides troubleshooting tips for common errors.

unsight.dev is a tool built on Nuxt that helps detect duplicate GitHub issues and areas of concern across related repositories. It utilizes Nitro server API routes, GitHub API, and a GitHub App, along with UnoCSS. The tool is deployed on Cloudflare with NuxtHub, using Workers AI, Workers KV, and Vectorize. It also offers a browser extension soon to be released. Users can try the app locally for tweaking the UI and setting up a full development environment as a GitHub App.

Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications. The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

bumpgen is a tool designed to automatically upgrade TypeScript / TSX dependencies and make necessary code changes to handle any breaking issues that may arise. It uses an abstract syntax tree to analyze code relationships, type definitions for external methods, and a plan graph DAG to execute changes in the correct order. The tool is currently limited to TypeScript and TSX but plans to support other strongly typed languages in the future. It aims to simplify the process of upgrading dependencies and handling code changes caused by updates.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

AirSane is a SANE frontend and scanner server that supports Apple's AirScan protocol. It automatically detects scanners and publishes them through mDNS. Acquired images can be transferred in JPEG, PNG, and PDF/raster format. The tool is intended to be used with AirScan/eSCL clients such as Apple's Image Capture, sane-airscan on Linux, and the eSCL client built into Windows 10 and 11. It provides a simple web interface and encodes images on-the-fly to keep memory/storage demands low, making it suitable for devices like Raspberry Pi. Authentication and secure communication are supported in conjunction with a proxy server like nginx. AirSane has been reverse-engineered from Apple's AirScanScanner client communication protocol and offers a range of installation and configuration options for different operating systems.

The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

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 NVIDIA AI Workbench project is designed for developing a Retrieval Augmented Generation application with a customizable Gradio Chat app. It allows users to embed documents into a locally running vector database and run inference locally on a Hugging Face TGI server, in the cloud using NVIDIA inference endpoints, or using microservices via NVIDIA Inference Microservices (NIMs). The project supports various models with different quantization options and provides tutorials for using different inference modes. Users can troubleshoot issues, customize the Gradio app, and access advanced tutorials for specific tasks.

Security checks for NFT contracts and items

Provides expert guidance on signal processing in engineering projects.

This is a demonstration of GPT Auth™, an authentication system designed to protect your customized GPT.

GPT used to classify prompts as valid inputs or injection attempts. Json output.

Spam expert with comprehensive scam detection and education.

I'm PhishCatcher, an expert in identifying phishing attempts.

Analyzes emails for phishing risks.

A protector and guide in online safety, detecting manipulations and fraud.

Multiple Environment Threat Evaluation of Resources (METEOR)™ Space Threats and Operational Risks to Mission (STORM)™ non-profit product AI co-pilot

Friendly scam guide with threat level indicator.

一切的骗局在我面前将无所遁形

Quality Cyber Security Advice, Tricks, & Tips

Hone your phishing detection skills! Analyze emails, texts, and calls to spot deception. Become a security pro!

Malware analyzer for WordPress code.

This GPT allows to interact with the Unprotect DB to retrieve knowledge about malware evasion techniques

Analyzes and updates on cyber-related Russian APTs, cognitive warfare, disinformation, and other infoops.

A helpful guide for understanding the paper "Anatomy of an AI-powered malicious social botnet"

Detect logical fallacies and lapses in critical thinking to help avoid misinformation in the style of Socrates

AI Detector GPT is powered by Winston AI and created to help identify AI generated content. It is designed to help you detect use of AI Writing Chatbots such as ChatGPT, Claude and Bard and maintain integrity in academia and publishing. Winston AI is the most trusted AI content detector.

I help detect food allergies by analyzing eating habits.