Anthropic Anthropic Claude Applications

Browse applications built on Anthropic Anthropic Claude technology. Explore PoC and MVP applications created by our community and discover innovative use cases for Anthropic Anthropic Claude technology.

GitChat

Gitchat is an exciting new tool that enables developers to have natural conversations about their code. It aims to make understanding and navigating complex codebases effortless through the power of language models. The core innovation of Gitchat is integrating GitHub repositories with chatbots powered by large language models like LLMs. By linking code hosted on GitHub to conversational interfaces, Gitchat allows developers to simply ask questions and get intelligent answers about their projects. Gitchat works by ingesting and vectorizing code from a connected GitHub account. This allows advanced language models to build contextual understanding of the codebase. Developers can then chat with the language model by asking questions in plain English such as "what is the purpose of this class" or "how is this module interconnected with the rest of the code". The language model leverages the vectorized code, context from docs/commits, and its own reasoning capabilities to provide helpful answers. It can explain code, provide design rationale, suggest improvements, summarize implementations, and more. The conversational nature makes it easy to interact and dig deeper. Gitchat aims to solve many pain points in software development like onboarding, tribal knowledge, finding dependencies, and navigating legacy code. By creating a code companion that developers can have a dialogue with, Gitchat hopes to make developer workflows more intuitive and productive

Empower Open Source
OpenAILangChainClarifaiLlama 2Anthropic Claude

AI Guardian

In today's digital age, online toxicity and harmful content are pressing issues that erode the quality of online interactions. AI Guardian, a revolutionary application leveraging StableCode's real-time content analysis capabilities, is designed to transform the online experience. It acts as a vigilant guardian, constantly scanning digital content for toxic language, hate speech, cyberbullying, and other harmful elements. AI Guardian goes beyond mere detection; it identifies ethical concerns in digital discourse. By analyzing text, comments, and posts in real-time, it offers users valuable ethical insights, helping them become more aware of the ethical implications of their online interactions. What sets AI Guardian apart is its commitment to empowering users. With customizable filters, users can tailor their ethical preferences, deciding what kind of content aligns with their values. Content warnings act as signposts, alerting users to potentially harmful material and providing them with the choice to proceed or avoid such content, thus granting them control over their online experience. But AI Guardian doesn't stop at detection and warning; it's also an educational resource. It offers a wealth of information and tips on responsible online behavior, enabling users to navigate the digital world ethically and safely. It aims to foster not only a safer online environment but also a more responsible and respectful digital culture. In a world where digital wellbeing is increasingly important, AI Guardian steps in as an indispensable tool. It prioritizes user data privacy, ensuring that content analysis is conducted while respecting privacy rights and regulations. It empowers users to make informed and ethical choices, promoting digital wellbeing in an age where it is needed more than ever.

EthicalCode Innovators
Streamlit
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StableCodeChatGPTAnthropic ClaudeAuto-GPTElevenLabs

StreetSmart

Today, I am thrilled to introduce you to StreetSmart - a groundbreaking web application designed to teach individuals who are visually impaired pedestrian safety, orientation, and mobility skills through an engaging and interactive game. To develop this application, I utilized some incredible tools. ElevenLabs played a crucial role in reading out trivia questions and notifying the user about successful street crossings. I also used Claude 2 to write the Python code that powers the app. And finally, Streamlit was used to build the interface. StreetSmart offers a range of functionalities to enhance the learning experience for visually impaired users: • Simulates Street Crossing: Through this app, when users click on the Cross Street button, they can virtually practice street crossing in a safe environment. ElevenLabs will provide feedback, notifying users if they have successfully crossed the street. • Orientation & Mobility Trivia: When users click on the Answer Question button, the app presents trivia questions related to orientation and mobility. Users can test their knowledge and receive immediate feedback from ElevenLabs on the answers they select. • Points System: To keep users motivated, StreetSmart rewards them with points for both successful street crossings and correct trivia answers. It's a fun and educational way to track progress! • Users can also select the text to speech voice they want to use. The idea for StreetSmart was born during the Covid 19 pandemic when many of us were stuck at home due to shelter-in-place orders. As a result, I couldn't go outside with my orientation and mobility specialist to practice pedestrian safety on real streets. That's when it struck me - why not create an app that teaches orientation and mobility theory using trivia questions and simulates street crossing?

RollWithAI
Streamlit
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Anthropic ClaudeElevenLabs

Egregore

Egregore: An implementation of LangChain and Claude for Accelerated Competitive Analysis Our Knowledge Harvesting team aimed to create an AI solution for a crucial stage of the product development process: Analyzing competition. Understanding the competition is vital to decipher a market and assess market attractiveness. Accurate knowledge of the competition helps product and marketing managers communicate product functions, features, and benefits effectively. We explored techniques to structure information for LangChain and opted to use prompts, testing them in GPT-4 and Claude 2. Additionally, we experimented with semantic triples to drive agent behaviors. Triples and knowledge graphs are powerful and interpretable ways to structure and curate data. In a real-world application, we focused on five ultrasound devices, enabling rich comparisons, including regulatory requirements. We delved into FDA processes for medical devices. Though we didn't fully structure this complex data, we captured the necessary elements to make it AI-digestible. With a 55-page Integrated Product Management Process as reference, we converted its step-by-step guidance into prompts and agents. While we encountered some uncompleted tests to assess AI configurations, we successfully developed workflows, data structures, and prompts to leverage LangChain's potential. Although more work lies ahead, we established a strong foundation for further exploration. Our team's experience in using AI for a real-world scenario was good! In just 3 days, we covered significant ground, demonstrating the tremendous potential of AI to augment human intelligence. Our project's ambition affirmed the possibilities of utilizing AI to enhance product management and innovation.

Knowledge Harvesting
LangChainAnthropic Claude

Optibuild

Visual Q&A for Monday.com is an innovative AI-powered tool designed to elevate project management and team productivity by analyzing task-related images and providing visual question answering. It integrates seamlessly with Monday.com, adding an extra layer of intelligence to this already robust platform. Harnessing the capabilities of Salesforce's state-of-the-art visual question-answering model, Blip, this tool allows teams to ask specific, targeted questions about visual content related to their tasks and get instant, automated responses based on an AI-powered analysis. For instance, in a construction project, photos documenting progress are often critical. With Visual Q&A, project managers can automatically analyze these images by asking questions like "Is the wall painted evenly?" or "Are the tiles laid correctly?" The AI model then scans the uploaded images and provides an answer, flagging potential issues and allowing teams to address them promptly. This drastically reduces the time required for manual checking and provides an efficient tool for quality control. In a marketing context, the tool becomes even more powerful. It can analyze design drafts, advertisement images, or campaign graphics and answer queries about specific elements. Questions like "Is the company logo clearly visible in the advertisement?" or "Does the advertisement contain any text in red?" can be answered rapidly, making it a valuable tool for ensuring brand consistency and meeting design specifications. But the applications of Visual Q&A for Monday.com extend far beyond these examples. Whether it's a retail company needing to confirm if their products are displayed correctly in a store, a manufacturer checking if a machine part has been installed correctly through images, or a software company verifying the presence of specific elements in their UI/UX, Visual Q&A can provide quick and reliable answers, streamlining the task management process.

Change Makers
CohereAnthropic ClaudeOpenAILangChainMonday AI Assistant

Auracle

Introducing Auracle, the revolutionary smart AI app that brings your ideas to life with a single touch. Say goodbye to tedious manual tasks and endless document searching. With Auracle, you can unleash the full potential of your imagination. Imagine having a virtual assistant that understands your vision, whether it's a groundbreaking company concept, an innovative feature, or a captivating product. Auracle effortlessly processes your project details and taps into the immense power of Large Language Models to create a world of possibilities. In a blink of an eye, Auracle generates comprehensive documents, including both functional and non-functional requirements. It captures the essence of your idea, highlighting its Unique Selling Points (USPs) that make it truly irresistible in the market. But Auracle doesn't stop there. It dives into the realm of finance, seamlessly performing financial projections, devising compelling marketing strategies, and crafting sales plans tailored specifically for your idea and your company. No more sifting through endless files or drowning in a sea of paperwork. Auracle streamlines the process, putting you in the driver's seat of success. Not only does Auracle empower you with its intelligent insights, but it also goes the extra mile. It constructs a comprehensive business plan, meticulously outlining the steps required to bring your idea to fruition. What's more, it understands the value of time. By automatically prioritizing tasks and seamlessly integrating them into a dynamic board, Auracle ensures you hit the ground running, transforming your idea into a tangible reality. Are you ready to embark on a journey of innovation, guided by the visionary prowess of Auracle? Unleash your creativity and witness the magic unfold. Your idea deserves the best. Auracle is here to make it happen.

Team Auracle
LangChainAnthropic ClaudeMonday AI AssistantMonday.comGenerative Agents

CreateTickets

In today's fast-paced product development landscape, product leaders play a critical role in ensuring efficient collaboration between designers and engineers. However, creating Jira tickets can be a time-consuming task that demands a deep understanding of various domains, from business and engineering to design and external resources. That's where CreateTickets comes in. Our platform is designed to empower product leaders by streamlining the ticket creation process and providing them with structured, easy-to-read tickets that encompass all the necessary context. With CreateTickets, product leaders can now create comprehensive Jira tickets in less than 2 minutes per ticket, saving valuable time and allowing them to focus on higher-level strategic initiatives. CreateTickets goes beyond simply creating tickets; it acts as a valuable assistant, ensuring that product leaders have the peace of mind they need to drive successful product development cycles. By automating the collection and organization of vital context information, our platform eliminates the need for manual data gathering, reducing the risk of errors and miscommunication. With CreateTickets, product leaders can easily communicate their vision and requirements to designers and engineers, providing them with a clear goal to work towards. By facilitating effective collaboration and minimizing ambiguity, CreateTickets enhances productivity and enables teams to deliver high-quality products more efficiently. Join the growing community of product leaders who have embraced CreateTickets and experience the power of streamlined ticket creation. Focus on driving innovation, while we take care of the administrative burdens. Try CreateTickets today and unlock your true potential as a product leader.

Unity Team
Anthropic Claude

Credit Card Banking Help bot

Our aim is to assist the new generation of Indians in selecting the most suitable credit cards and accessing 24/7 customer service for their financial products. We strive to simplify the credit card application process, provide comprehensive research capabilities, and offer reliable customer support. To achieve this, we will build a robust system using advanced AI and foundational models like Claude. This technology will continuously update and analyze the ever-changing financial landscape, allowing us to provide up-to-date information and personalized recommendations to our customers. Our ultimate goal is to make credit card selection effortless and ensure that individuals have the necessary support throughout their financial journey. By leveraging cutting-edge AI and a user-centric approach, we aim to empower people to make informed decisions and navigate the complexities of credit cards with ease. In addition to our current focus on credit cards, we have a vision to expand our services to encompass other complex financial instruments in the future. We aspire to provide real-time support and assistance for these instruments as well. By leveraging our advanced technology and expertise, we aim to offer a comprehensive range of financial products and services. Our goal is to become a one-stop platform where individuals can confidently explore and understand various financial instruments, receive personalized recommendations, and access real-time support throughout their financial journey.By expanding our offerings beyond credit cards, we aim to empower individuals to navigate a wide range of financial options with ease and confidence.

Credit Card Banking Help Bot
Anthropic Claude

Vocava

AI-powered Personal Tutor: Vocava leverages state-of-the-art Large Language Models to act as a personalized language tutor. This AI can adjust its teaching strategy according to user's fluency and interests, making each learning session tailored and efficient. - Immersive Learning: Unlike traditional language apps that focus on vocabulary and grammar, Vocava focuses on creating immersive, context-based learning experiences. This mimics how people naturally acquire languages, making learning more intuitive and enjoyable. - Language Translation and Conversation Practice: Vocava offers a translation module with added features like part-of-speech tagging and explanations. Moreover, users can engage in conversation with the AI tutor in the Chatterbox module, practicing their speaking and listening skills. - Storytelling and Reading Comprehension: The Storytime module presents learners with stories in their target language and offers comprehension questions, reinforcing understanding in an entertaining way. - Culture Corner: Vocava goes beyond language learning, offering insights into the culture and traditions of different regions. This helps users understand the context of the language and adds richness to the learning experience. - Learning Through Games: Vocava's Arcade module presents a series of games that teach language in a fun and engaging manner. From Pictionary and MadLibs to Jeopardy, learning becomes a delightful activity rather than a tedious chore. - Dynamic Vocabulary Learning: The Playground module allows learners to generate new vocabulary and phrases, save known phrases, and review them. All these phrases are embedded in a vector database for future reference. - Analytics Dashboard: Vocava offers a comprehensive dashboard to track learner's progress over time, making it easy to see improvements and identify areas for focus. - Newsfeed: Users can access real-time content in their target language, practicing their skills with actual, relevant information.

The Irrelevant Elephant
Streamlit
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CohereChromaOpenAIDALL-E-2WhisperAnthropic Claude

Tale Protocol

An AI-powered story generator that combines biodiversity data and animal behavior science research to create engaging narratives about wildlife. The goal is to produce engaging and educational narratives that can raise awareness of biodiversity issues and inspire conservation efforts. The system uses LLM to generate stories from supplied data sources. It integrates data from biodiversity monitoring of animals in Upemba National Park, scientific research on animal behavior, and examples of wildlife stories for different audience levels. After initial training, the AI agent can generate customized narratives for specific purposes. There are three main settings: Kids Tale: The AI tells simple stories suitable for children to teach basic biodiversity concepts in an entertaining way. (Outside scope of MVP) Main Tale: It's aimed at the general public and focused on impact, highlighting the importance of wildlife, our dependence and the human impact on it. The stories have an educational element while remaining engaging and are oriented towards a CTA. Research Tale: It’s aimed at a technical public, the AI analyzes the combined data to produce insights that can assist park managers, biologists and researchers with biomonitoring efforts and conservation strategies. (Outside scope of MVP) The narratives generated can be the perfect substrate to develop other projects, some examples: Communication Campaigns for Social Media - Main tale Gaming Assets - Main tale. Ex 1. Kids books/games - Kids tale Biomonitoring support - Research Rale

Tale Protocol
Vercel
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VercelAnthropic Claude

Deep Dive

Deep Dive is an innovative academic exploration tool, designed to bridge the gap between disciplines. Created for a hackathon, this web app integrates the Claude API—an advanced Large Language Model, the Mathpix API for math interpretation, and the intuitive Streamlit platform. Deep Dive's unique feature is its ability to convert PDFs into LaTeX format using Mathpix API. This function enables the understanding of mathematical expressions, tables, and formulas, creating a game-changing experience in academic paper navigation. The heart of Deep Dive is its customizable depth of understanding slider. Users from all backgrounds can select a comprehension level ranging from a basic understanding (level 1) to a detailed, technical understanding (level 3). Consequently, a computer science major can grasp a biology paper, and vice versa. Once users input their paper and select the comprehension level, Deep Dive employs Mathpix and Claude APIs to generate a detailed summary tailored to the chosen depth of understanding. Users can ask questions about the paper, with the app producing answers matching the comprehension level. For brevity, responses can be condensed via a checkbox. Deep Dive also includes an interactive multiple-choice quiz designed using the Claude API. These quizzes adapt to the chosen depth level, providing instant feedback and explanations for correct answers. In essence, Deep Dive democratizes academic content, making interdisciplinary learning more accessible and engaging through its mathematical comprehension, customizable summaries, Q&A, and quizzes. It's a milestone in academic research tools, transforming learners into active participants in the global knowledge community.

AI
Streamlit
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Anthropic Claude

AssetGPT

In our rapidly evolving society, each commercial building's financial life cycle undergoes rigorous management, auditing, and examination by a complex network of professionals. This chain includes finance managers at the building, owner, joint venture, lender, and prospective buyer levels, among others. A conservative estimate suggests that, in the United States alone, approximately $27 million is expended monthly on labor hours solely for the interpretation of financial statements. AssetGPT is poised to address and resolve this issue. AssetGPT, an AI-driven tool, is primed to revolutionize real estate asset management. It streamlines the intricate tasks associated with managing financial statements, providing much-needed solutions to the laborious and daunting processes that financial managers encounter daily. Empowered by advanced AI capabilities, AssetGPT offers lucid summaries of financial reports, conducts comprehensive audits, and provides illuminating insights into the embedded data. Leveraging our pioneering technology, challenging financial procedures are transformed into seamless, automated workflows, thereby enhancing both efficiency and accuracy. In the future, AssetGPT is set to expand to accommodate additional document types, including Rent Rolls, Budget files, Payroll reports and even meeting notes, underlining our commitment to being a comprehensive solution for real estate management. One distinct feature of AssetGPT is its innovative memory system. Our AI builds on past insights, preserving them in a vector database for future reference. This feature facilitates AssetGPT to evolve in tandem with its users' requirements and consistently augment the quality of its output over time.

Virtual Financial Analyst
LangChainAnthropic Claude

Prompt Consultant

In the rapidly progressing world of large language models (LLMs) like GPT-4, the art of crafting effective prompts is crucial for harnessing their potential. However, the dynamic nature of LLM research presents a challenge: keeping up with the continuous influx of new prompting techniques. This is where our project, the "Prompt Consultant", steps in. The Prompt Consultant aims to guide users in generating more effective prompts, not by having them chase the latest research, but by leveraging the power of the LLMs themselves. We exploit the LLM’s capacity to assimilate the best prompting resources and provide insights for improving prompts. The challenge is that LLMs, due to their static training data, are not aware of the latest prompting tricks. Our solution is to use in-context learning, incorporating the most recent prompting resources directly into the prompt. Anthropic's long-context API is a critical component of this endeavor. It's impractical to train a new model every time a new prompting method emerges, and the versatility of user queries makes common vector search methods insufficient. The long-context API allows us to include extensive relevant prompting information directly in the context. Our proof-of-concept demo uses the latest resources from learnprompting.org, embedding them in the model’s context. Users can then consult our bot, implemented on Anthropic’s Claude-v1.3-100k model, to enhance their prompts. Our preliminary results show promise, indicating LLMs' potential to stay in step with rapid advancements in their field. In essence, the Prompt Consultant bridges the gap between the rapid progression of LLM research and practical, effective usage of these models. By leveraging the LLMs themselves, we aim to make these technologies more accessible, democratizing the benefits of AI research. Our project foresees a future where anyone, regardless of their expertise, can generate high-quality outputs from these models through optimized prompting.

long long int
replit
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Anthropic ClaudeGPT-4

Lisan

Lisan is a story-based platform for language learning. In "Story" mode, the user initiates a story in a language of her choice (i.e. French) with a sentence in that language. In the feedback stage, Lisan analyzes the correctness of that sentence and provides a corrected version of that sentence. Lisan also vocalizes the sentence so that the user can check their pronunciation. In the response stage, Lisan writes her own sentence that continues the story in a coherent way, adjusted to the learning needs and current skill level of the learner. This sentence is presented in three levels of increasing granularity: (1) a vocalization of the sentence (2) a transcription of the sentence and (3) a word-by-word translation of the sentence. If the learner cannot understand the sentence when presented at an earlier stage of granularity, they are encouraged to reveal the next stage. Then, the user contributes another sentence and the pattern repeats. In "Flashcard" mode, the user can view the sentences and words used in their story by both the learner and by Lisan. They can be exported as a csv and uploaded to flashcard services like Anki or Quizlet for memorization exercises. In "Analytics" mode, the user can view (1) the full transcript of the story with all parts of speech tagged (2) a summary of the story and (3) an interactive graph visualization of a trie comprised of the words used in the story. The trie visualization is an effective way for visual learners to understand the relationships between words. For example, the words "reader", "reading", and "read" all share a common lexical prefix "read", which corresponds to a morphological root word in English.

Lisan
Streamlit
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Anthropic Claude

Revu Code

Revu Code is an open-source project, enabling you to communicate with your entire code base seamlessly through a chat interface. With AI-fueled insights, Revu Code empowers developers to effectively manage, enhance, and collaborate on their code, no matter their platform of choice. Revu Code is designed as three interconnected components: 1. **API**: A powerful and intelligent back-end that processes, analyzes, and manages your code base to provide relevant information and recommendations. 2. **Flutter App**: A versatile and responsive front-end built with Flutter, allowing you to access Revu Code as: - **VSCode Extension**: Integrated directly into your favorite code editor. - **Web App**: Accessible from any browser for ultimate convenience. - **Mobile App**: Stay connected to your code base on-the-go. - **Desktop App**: Enjoy the full potential of Revu Code on standalone desktop applications for Windows, macOS, or Linux. ## Experience the transformative benefits of Revu Code: - 🔎 **Ask Complex Questions**: Delve into your code base with Revu Code's chat interface, answering challenging questions and deciphering relationships with the power of AI. - 🚀 **Accelerate Answers**: Receive instant, relevant insights by typing your queries directly into the chat interface, whether in the VSCode Extension, Web App, Mobile or Desktop App. - 📈 **Improve Code Quality**: Enhance performance and readability with intelligent refactoring and optimization recommendations across all your platforms. - 🔧 **Identify & Fix Issues**: Automatically locate and rectify inefficiencies, security vulnerabilities, and deprecated dependencies for polished code. - 💬 **Streamline Collaboration**: Facilitate effective code reviews and seamless team communication with in-context, chat-based collaboration. - 🧠 **Contextual Documentation**: Access code examples and contextual documentation instantly, across devices, to boost your productivity.

ConceptaDevs
medal
Anthropic Claude

MintAI AI

Imagine reading a complex text, say Keynes's General Theory, and struggling to comprehend the intricate concepts. Now, imagine an intelligent assistant that takes these abstract concepts and links them to real-world scenarios and current events you care about - making learning not only simpler, but also engaging and relatable. That's exactly what MintAI offers! MintAI is your AI-powered personal learning assistant, transforming the way we approach learning complex material. It bridges the gap between theory and practice, enhancing your understanding and retention of information. But, it's not just about simplifying the material - MintAI is built on a sophisticated AI that understands your unique learning style and personalizes the content accordingly. What's more? You are part of an active learning community! MintAI encourages you to upload materials, interact with the AI, and comment on real-world events with an understanding of theoretical concepts. As a result, you're not just learning - you're applying your knowledge and contributing to the learning of others. At the core of our business model is a subscription service that offers access to premium features and personalized content. This ensures a sustainable and continuous platform enhancement, making MintAI your lifelong learning partner. Join us as we revolutionize the learning experience, making it easier, more engaging, and highly personalized. Welcome to MintAI – your future of learning.

SparkO2
Vercel
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LangChainAWS SageMakerCohere EmbedAnthropic Claude

AI Trading App

Introducing a game-changing, AI-powered trading app designed for the contemporary investor. Whether you're looking to build a tailored stock portfolio or explore AI-led strategies, our platform provides the perfect solution. Explore these cutting-edge features: - **ChatGPT-Driven Strategy:** Effortlessly buy and sell stocks through a sophisticated AI strategy powered by ChatGPT. Trading is now intuitive like never before. - **Sentiment-Based Trading:** This unique feature bases stock purchases on the tone of news headlines, adding an extra dimension to your trading strategy. - **Community Sourced Strategies:** Tap into collective wisdom with proven trading strategies imported directly from established financial communities. - **Replicate Winning Strategies:** Mirror the strategies employed by prosperous funds and top-tier investors to grow your wealth. - **Performance Comparison:** Measure the success of your strategies against major indexes, successful funds, or each other. Our platform, already integrated with Alpaca, is looking forward to partnerships with Degiro and more. We're also expanding into crypto trading with integrations like Binance, Coinbase, and Kraken on the horizon. Initially launching in US markets, we aim to expand into other stock and crypto markets for a global trading experience. As a tech-first, socially responsible company, our platform resonates with digital natives familiar with Robinhood, Uber, and Netflix. Committed to promoting socially responsible investments, we pledge to support environmental and social projects. Embrace the future of trading. Your wealth, your way.

AI traders
Vercel
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Anthropic ClaudeVercelGPT-4

WIM Whatd I Miss

Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)!Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be a podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)! This tool can take a YouTube transcript from one or more videos to be used to answer questions on a topic. The output will include a generated overall summary and generated key points from the video(s) by reading select parts of the transcript. The output will also include links to the relevant video, timestamped to the specific quote/snippet related to its respective key point. This tool can be useful to learners going through a video series playlist to review or identify where the series talks about a topic. It can also be used for educators in creating lessons from a series of videos. It also can be used for more casual enjoyment such as reviewing what the hosts have said on a particular topic. This use case is especially relevant for podcasts where hosts may revisit the same topic across multiple topics. Although Anthropic's Claude model can take in 100k tokens, this still creates a limit to what's read in by the LLM. This project will attempt to read in all the selected transcripts for the available model but if the transcript is too big for even the beefiest model, the tool will strategically select portions of the relevant transcripts based on the user fed question.

Vector
Anthropic ClaudeBERTGenerative AgentsWhisper

sd LLM

The concept hinges on the use of the Language to Language Model (LLM) command to generate prompts for the Stable Diffusion (SD) process, which then creates images. The LLM command converts linguistic instructions into AI-compatible formats, guiding the SD process. SD, a common AI technique, spreads information through a system until a stable state is achieved, making it effective for image generation. The LLM command creates prompts that direct the SD process to create specific images. These prompts, which are linguistic instructions, are designed and coded strategically to guide the image generation process towards a desired outcome, like an image of a sunset over a calm lake. Once the SD process starts with these prompts, it gradually transforms the initial state (a noise pattern or blank canvas) into a complex image that aligns with the prompts. This diffusion process ensures the image evolves in a stable, controlled manner, closely following the instructions in the prompts. The outcome is an image that accurately reflects the original LLM instructions. This isn't the end, however. The image can then be used as input for further LLM commands, which create 'img2img' prompts for another round of SD, further transforming the image based on new instructions. This enables the creation of a variety of images, each interpreting the LLM-generated prompts uniquely. This approach, combining the linguistic versatility of LLM commands with SD's transformation capabilities, creates a cycle of image generation and transformation. This cycle opens up extensive possibilities for creative expression and AI-assisted design, with each cycle potentially birthing a new artistic creation.

Geek1024
Stable DiffusionChatGPTAnthropic Claude

ThinkATive

ThinkATive offers several key features: 1. Confidential and Non-Judgmental Environment: The AI counseling platform creates a safe space where individuals can openly express their thoughts, feelings, and concerns without fear of judgment or stigma. 2. Personalized Counseling Sessions: Through advanced algorithms and machine learning, the AI system can analyze users' responses and provide tailored counseling sessions based on their unique needs and circumstances. 3. 24/7 Availability: Recognizing that mental health issues can arise at any time, the AI service is accessible round-the-clock, allowing individuals to seek help whenever they need it, even outside traditional working hours. 4. Multilingual Support: The AI platform is equipped with language capabilities that cater to diverse linguistic backgrounds, ensuring that individuals from different communities can access the service in their preferred language. 5. Resource Recommendations: The AI system can suggest relevant resources, such as articles, videos, or self-help materials, to supplement counseling sessions and empower individuals to continue their personal growth and healing. 6. Referral Assistance: In cases where additional support is necessary, the AI service can provide referrals to local mental health professionals or community organizations, ensuring individuals receive appropriate and specialized care. By combining the convenience and scalability of AI technology with empathetic and compassionate support, this AI-powered psychological counseling service strives to bridge the gap in mental health care for marginalized populations, promoting well-being, resilience, and inclusivity.

Arcalive
Anthropic ClaudeGPT-4

Tropic AI

Our project tackles the urgent challenge of climate change and emphasizes the need for collective efforts. With busy schedules, it can be challenging for individuals, especially students, to find time to research the environmental impact of their actions. Misconceptions and limited knowledge can lead to unintended harm, such as incorrect recycling practices that can be worse than not recycling at all. To address this, we have developed a personalized sustainability tool. This innovative app offers fast and user-friendly assistance to help users make informed choices. It provides valuable insights into the environmental impact, feasibility, and effectiveness of various practices. Additionally, the app suggests improvements and provides additional information to guide users towards more sustainable behaviors. For example, when considering the disposal of styrofoam boxes, the app evaluates the trade-off between washing them for reuse and throwing them away, taking into account factors like water consumption and waste generation. By considering these variables, users can make more informed decisions aligned with their sustainability goals. The app goes beyond generic advice by explaining the reasoning behind recommendations, fostering understanding, and allowing users to ask questions to enhance their knowledge. It takes into consideration specific factors such as location, age group, and workload to offer tailored advice. This context-specific approach ensures that the recommendations are relevant and applicable to the users' unique circumstances.

Sustainable Initiatives
GPT-3.5Anthropic Claude

Rimworld - Claude collab

Claude is an AI assistant developed by Anthropic that can understand natural language and generate coherent responses in a conversational context. It is trained on a massive dataset using self-supervised learning which allows it to develop a broad range of knowledge and capabilities. Rimworld is a popular sci-fi colony simulation game where players control characters in a futuristic space western setting. The game generates stories and events that shape the player's experience in an unscripted manner. This type of emergent narrative is engaging but can sometimes feel repetitive after many hours of gameplay. A storytelling modification for Rimworld aims to enhance the narrative experience using AI such as Claude. The mod can generate more varied and complex story events by understanding the current game state and inventing new scenarios that fit within the established lore and tone of the game world. For example, instead of generic events like "battery explosion" or "colony marriage", the AI may create multi-part storylines following specific characters, introduce compelling villains and plot twists, or build up and resolve long-running mysteries. The integration works by feeding details about the player's colony, characters, tech progression, and past events what had regular storyteller into Claude. The AI then responds with suggestions for new story beats that can be translated into in-game events, quests, items descriptions, and character interactions. Instead of pulling from a fixed set of possibilities, each new game experience can feature completely unique stories shaped by the players' actions and the AI's limitless creativity. With the help of natural language generation, Rimworld can achieve new heights of unscripted storytelling and truly feel like every player is experiencing their own science fiction epic.

RefernoMe
Streamlit
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Anthropic Claude