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Discover Recent AI Hackathons Winners!

Explore lablab.ai's latest winning AI hackathon projects. Dive into innovative applications and find inspiration for your next AI creation!

AllTrending 🚀Recent Winners 🥇Most votes 🔝

Lec2Learn - Finetuning AI Models

We present our solution Lec2Learn that works on Finetuning open source learning data for providing learning objectives. We start by obtaining all textbooks from opentextbookbc, we Process HTML to obtain the lecture and learning objectives, We then have pairs of lectures with their corresponding question groups, On the server we use Microsoft Phi 1.5 model and we fine tune it, We fine tune on the opentext data which is used so that model gets better at generating learning objectives, For the Prompt we give the lecture and learning objectives, we always start with Describe so model does not generate random data.

FineTuners
medal
Vercel
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OpenAIFineTuner.aiGPT-3.5

Mental Health Counselor

A mental health counselor AI is a groundbreaking advancement in mental health care, combining artificial intelligence, machine learning, and natural language processing. It revolutionizes mental health care by offering scalable and accessible support worldwide. This AI emulates human mental health professionals, engaging in empathetic conversations, actively listening, and gaining insights into users' emotional states. It assesses and diagnoses conditions like depression and anxiety through responses, tone of voice, and facial expressions, serving as an early warning system. The AI offers tailored therapeutic interventions, providing evidence-based strategies for stress, anxiety, and depression. It adapts recommendations based on user progress and emotional changes. Its 24/7 availability ensures help is always accessible, reducing barriers to mental health care. Privacy and confidentiality are maintained through strict data security protocols. Integration with health records and systems enables collaboration between AI and human providers, offering comprehensive care. Scalability addresses the demand for mental health services, making care more accessible. Continuous learning improves personalized support over time. In summary, a mental health counselor AI is a transformative innovation, offering accessible, scalable, and personalized support. With diagnostic capabilities, therapeutic interventions, and 24/7 availability, it addresses the global mental health crisis and provides vital support to those in need.

Syatumm
medal
Llama 2

Summerize

Summerize is an innovative web application designed to facilitate efficient and structured information retrieval from online articles. With the primary goal of aiding students, researchers, and professionals in optimizing their research endeavors, Summerize offers the capability to extract essential content from web articles effortlessly. Incorporating a user-friendly interface, Summerize simplifies the process of obtaining article summaries. Users can input the URL of the desired article into the designated field on our platform. Upon clicking the "Summarize" button, Summerize employs advanced algorithms to swiftly distill the principal points, key insights, and critical takeaways from the article, presenting the user with a clear and coherent textual summary. Moreover, Summerize distinguishes itself by not only generating textual summaries but also by providing pertinent image prompts. Recognizing the significance of visual aids in presentations and research, the platform offers users the option to access relevant images extracted from the article. This feature enhances the quality and impact of presentations, ensuring that information is conveyed comprehensively and effectively. In summary, Summerize is a powerful tool that empowers users to streamline their research processes, save time, and enhance the quality of their academic and professional work. By continually refining its capabilities and expanding its offerings, Summerize aspires to become an indispensable resource for individuals seeking to navigate the complexities of online content with ease and efficiency.

Summerize
medal
Streamlit
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Stable DiffusionOpenAIChatGPT

Personalized Financial Advice Chatbot Using NLP

Navigating traditional bank websites can be an exasperating experience due to their complex menu structures. The Personalized Financial Advice Chatbot (PFAC) is designed to revolutionize this by using advanced natural language processing and machine learning. PFAC interprets user intents and preferences, streamlining information retrieval and enhancing the user experience. Instead of getting lost in the maze of menus, users can simply ask PFAC for account balances, loan advice, or any financial queries in plain language. PFAC aims to make online banking more user-centric, providing a stress-free, straightforward way to manage finances. This project delves into technical details, benefits, and the potential to transform online financial advice.

Cognitive
medal
GANBERT

Music Mood App - GenZ Music Generator

We have used Clarifai for image recognition, we give user the option to upload image and the AI can generate prompt according to the image it recognizes, based on that it generates music prompt to be passed to Musicgen for generating Music. Currently, with the MusicGen environment we have it takes approx 20 seconds - 22 seconds to generate music. The audio output we kept is upto 6 seconds for the user to hear it and download it. We also have an option to detect and recognize live webcam feed, the AI will generate prompt according to the image recognized and will generate prompt for MusicGen to generate music. In addition, the user can also simply write the prompts on their own to generate music.

Audiophiles
medal
AudioCraft

LoFi Focus

## Implementation - Built as a Chrome browser extension for ease of use - Uses JavaScript content scripts to analyze webpages and play lofi audio - Leverages AudioCraft's MusicGen AI model to generate the lofi tracks - Polished UI allows easy control over the music generation --- ## Our Custom Model We collected a dataset of original non-copyright lofi music. This gave us access to a large corpus of high-quality training data without any copyright issues. We split the lofi songs into 30 second audio clips and paired each clip with a text prompt describing the mood, instruments, tempo and other qualities of that segment. Examples include "slow chill hip hop beat with mellow piano and vinyl crackle" and "upbeat lofi with energetic drums and warm bassline". We formatted this dataset into the required .wav and .txt file pairs that musicgen_trainer expects. The text prompts would guide the model to learn the nuances of lofi hip hop. We then ran musicgen_trainer on this dataset, configuring it to use the small architecture for optimization purposes. We trained for 100 epochs with a learning rate of 1e-5 and batch size of 4. During training, musicgen_trainer used the audio/text pairs to fine-tune MusicGen on lofi music. The pre-trained weights were specialized to generate high quality lofi given descriptive prompts. After training finished, we saved the best performing model checkpoint. We now have a MusicGen variant skilled at generating original lofi tunes according to textual descriptions. --- ## Why Download Our Chrome Extension - Improve focus and concentration when reading - Make reading more enjoyable and relaxing - Boost productivity - Avoid listening fatigue - Portability - Ease of use - Less anxiety - Nostalgia

LoFi Focus
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AudioCraft

Hootmoo

Hootmoo is an app designed to enhance early childhood education by putting the power of personalized learning in the hands of parents. Catering to toddlers as the primary beneficiaries, the app allows parents to specify the subjects and concepts they want their children to learn. With a few taps, Hootmoo generates vibrant and engaging flashcards that come alive with corresponding audio, transforming learning into an interactive and enjoyable experience. The app's user-friendly interface ensures that parents can easily customize flashcards to match their child's unique interests and developmental needs. Whether it's numbers, colors, animals, or even introductory language lessons, EduCard Connect covers a wide spectrum of subjects crucial for early learning. A standout feature of Hootmoo is its commitment to affordability and accessibility. The app operates mostly on a non-profit basis, with minimal profits generated to cover upkeep expenses. Funding is primarily sourced from unobtrusive elements like advertisements, sponsorships, and generous donors who share the vision of accessible early education for all. By harnessing the potential of modern technology, Hootmoo redefines educational toys and offers a cost-effective alternative for parents seeking interactive learning tools. It's a win-win solution that empowers parents to actively participate in their child's learning journey while fostering a love for learning from the earliest years.

Hootmoo
medal
Streamlit
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AudioCraft

Definitely Not Jarvis

Advanced Query Resolution: With Clarifai's LLama2 LLM at its core, Definitely-Not-Jarvis possesses the ability to understand and interpret a wide range of user queries. Whether it's a technical question, a request for information, or even a casual inquiry, the app can swiftly comprehend the context and deliver accurate responses. Instant Assistance: Say goodbye to delays in obtaining information. Definitely-Not-Jarvis harnesses the power of LLM to provide real-time answers, ensuring that users receive the information they need exactly when they need it. This feature is particularly valuable for time-sensitive queries and situations that demand quick decision-making. Seamless Slack Integration: Seamlessly integrate it into your Slack workspace as a custom bot. Users can interact with the app by simply mentioning it i n a message or directing their queries to it. The app's user-friendly interface makes interaction intuitive, ensuring that both new and experienced users can effortlessly make the most of its capabilities. Knowledge Base Expansion*: Over time, Definitely-Not-Jarvis learns from the questions it receives and continuously improves its responses. It adapts to your team's unique communication style and specific terminology, ensuring that its accuracy and relevance become even more refined with each interaction.

LittleJumps
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IntelliSum - Intelligent Summarizer for Text

We have created an extension named IntelliSum that uses LLama2 and Clarifai for Intelligent Summarization and extraction of text from a given URL, using Stable Diffusion it can also generate AI Prompts and Images for given prompts. We have made this extension that is compatible with browsers and helps users to generate summary of texts, extract arguments from a piece of text, generate AI prompts and generate images according to the AI prompts. We have used technologies like JavaScript, Python, Llama2, Clarifai and other web technologies for creating this extension, we further in future want to extend our scope to fake news and fakeness detection in articles and AI Assitants

Alpacas
medal

FINGU - Your own Personal Finance Assistant

'FINGU' is an innovative, AI-powered personal finance assistant designed to revolutionize the way individuals manage their finances. Built upon state-of-the-art machine learning algorithms, 'FINGU' constantly learns from user interactions, financial behaviors, and market trends to provide highly personalized financial advice. By integrating real-time data analytics, 'FINGU' offers users insights into their spending habits, investment opportunities, and potential financial pitfalls. Furthermore, its interactive interface is designed for user-friendliness, ensuring that even those unfamiliar with financial jargon can make informed decisions. With its emphasis on data security, 'FINGU' employs end-to-end encryption to protect user information, ensuring confidentiality and trustworthiness. Beyond mere number crunching, 'FINGU' understands the nuances of individual financial goals, helping users strategize for both short-term and long-term objectives. In essence, 'FINGU' isn't just a tool—it's a comprehensive financial companion aimed at empowering users to achieve financial success.

Team FINGU
medal
Vercel
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DefendIQ Empowering Military Operations through AI

DefendIQ: Uniting AI and IoT for Next-Level Security DefendIQ is a major step forward in security solutions, bringing together AI and IoT devices in perfect harmony. Through customized AI training, we make our AI your personal guard, able to spot threats unique to your situation. Imagine a security system that adapts as your needs change. The real magic happens when IoT devices join the mix. Cameras, drones, and access control systems work together to create a strong security network, like instruments in an orchestra playing in sync. In a world driven by technology, DefendIQ blends real-time data with smart decisions, giving you unmatched security. But our innovation goes beyond gadgets; it's about teamwork. Our AI works with your security team, offering real-time insights and responses, making everyone more effective. We're not replacing humans, we're making them even better. Picture this: someone with a gun. DefendIQ's AI quickly spots it and sets things in motion. Drones fly to get a better view, while the AI and humans work together on a plan. Perimeters lock down, commanders get informed – all part of the strategy. And DefendIQ keeps growing. We can train our AI on your data, so it becomes a perfect fit for your unique environment. Think about the AI noticing things only you would know. This combination of AI and IoT is like a security song, where every note adds to protection. Responsible AI is at the core. Humans are always in charge, making sure things are ethical and accountable. DefendIQ's impact reaches beyond today. Imagine connecting more IoT devices, creating an even stronger security web. With AI guidance, your security team becomes an orchestra of efficiency. In the end, DefendIQ isn't just security; it's progress. It's the blend of technology and teamwork, a strong shield and an ethical approach. It's about guarding your space, empowering your team, and embracing smart innovation. Get ready for the future of security with DefendIQ.

Enigma
medal
Streamlit
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Llama2 GPT CodePilot VSCode Extension

While coding, programmers rely heavily on documentation, and the process of switching windows every time you search for something could be obnoxious at times, especially if the device has only one display. We thought about a solution of speeding the process of developing by creating a code helper VSCode extension. Llama2 GPT CodePilot is aiming at helping software developers in building code or debugging their software by prompting the gpt making it coding convenient for developers with only one display. It uses a large language model, CodeLlama-7B-Instruct-GPTQ, takes input from the user, and generates a relevant response based on the text given. It is published on the VSCode extension marketplace under the name of "Llama2-GPT-CodePilot" and it is written in TypeScript

New CV and NLP
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SlideDeck AI

We often spend a lot of time to create presentation slide decks. Although AI can help us with generating content, it requires several additional works, and often software permissions, to actually generate a slide deck based on such content. With SlideDeck AI, users and generative AI co-create a presentation slide deck in a few steps. Users begin by describing the topic of their presentation, based on which the contents/outlines of the slides are generated. Subsequently, the natural language contents are converted into structured JSON data. In the next step, a PowerPoint slide deck is created based on the JSON data. In addition, SlideDeck AI goes beyond the basic functionality to further help the users. First, it retrieves helpful resources on the topic from the Web and presents them to the users for further study. Second, it also generates a concept art on the topic that might be used in the presentation. With SlideDeck AI, users can gain a productivity boost by co-creating with AI.

Slide Deck AI
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SightCom

In my country, there exists an inequality affecting visually impaired individuals who lack access to essential accessibility services. This has driven me to create a mobile app that can harness the power of AI to offer a transformative solution. By enabling the visually impaired to understand the world around them, this app directly aligns with two crucial United Nations Sustainable Development Goals (UNSDGs): Goal 3 - "Good Health and Well-being," and Goal 10 - "Reduced Inequalities." The app is constructed using the Flutter framework for the frontend, while the backend relies on the Clarifai API for AI processing. The app also queries a database lookup API for relevant product information based on the barcode. The app contains five accessibility features, all of which can be activated through voice commands. These features are: - Scene Description: Leveraging image captioning technology, the app verbally describes the objects captured by the camera. - Color Recognition: The app enables users to identify colors of objects. - Text Recognition: The app utilizes Optical Character Recognition (OCR) technology to convert text within the camera's view into speech. - Product Reader: Once a barcode is scanned, the app provides users with information about the product. - QnA Chatbot: Powered by Llama 2 technology, users can asks questions and get responses from a virtual assistant.

SightCom
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Llama 2

AutoStableCode

AutoStableCode is a VSCode Extension that magically produces code in just about any language well. Coding can be frustrating and time-consuming, with errors adding hours of debugging to a project. Errors in code can result in security risks, broken software, and dissatisfied clients. AutoStableCode produces error-free, usable code for easy and efficient coding without the frustration and risk. Over 19 million developers globally, with the market size expected to grow at a CAGR of 8.9% by 2027. StableCode AI offers a subscription-based service with tiered pricing for individual and enterprise use. Watch StableCode AI in action and see for yourself how it produces fixed, immediately-useable code with zero errors.

Team Tonic
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StableCode

Research Codey AI

Research Codey is a one place app where you can get insights of modern researcher papers and Code generation facility. You can upload research papers and can get insights about it by asking question answers. It can be helpful for software engineers as well, they can utilize this facility and get insights of SRS documents. This can help them code as well and to get summary of it. Another interesting feature is Code generation. Our researchers and software engineers can generate code with a help of simple prompts. Our Future functionality is to extract the relevant information and then give the best prompt the the API to get the desired functions.

ICode Guru
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StableCode

Easy Scrape - Seamless Conversion from HTML to CSV

This app lets the user automatically scrape websites by letting Stablecode generate JavaScript code to parse a part of the HTML and convert it to a CSV. Here is how our app works: The user enters a URL and the app returns the page's HTML. The user can then tell the AI where the data is located, and Stablecode will then write javascript file to parse the HTML and convert the relevant part into a csv. We are taking inputs from the user, that input will be HTML link that user wants to scrape and parse, we have the option given to user to select an element and write a prompt accordingly to scrap and parse that element from the given HTML link. Stablecode will generate JavaScript code to parse part of HTML and convert it into CSV format. This will help users to scrape websites and get JavaScript code for the selected element as well as the Downloadable CSV format code for the selected element.

Visioneers
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StableCode

StableCode Tutor

Building an interactive coding tutor that leverages the StableCode model can be an exciting and educational project. Here's a detailed breakdown of how you could approach this idea: Key Features: User Authentication and Profiles: Allow users to create accounts and log in. Each user should have a personalized profile where their progress, completed exercises, and achievements are tracked. Exercise Library: Create a library of programming exercises covering various difficulty levels and programming concepts. Each exercise should come with a description, a code editor, and an expected output or behavior. Real-time Code Analysis: Integrate a code editor with real-time syntax highlighting and analysis. As users type code, the system should use the StableCode model to analyze the code for errors, suggest improvements, and provide explanations for various coding decisions. Feedback and Suggestions: Based on the analysis, provide immediate feedback and suggestions to users. If the user makes a syntax error, the system should highlight the error and provide guidance on how to correct it. If the user's code could be optimized, the system should suggest more efficient alternatives. Explanation Generation: Use the StableCode model to generate explanations for coding concepts. When a user encounters a new concept, the tutor can provide an explanation that breaks down the concept and provides examples. This could include explanations of data types, control structures, functions, and more. Progress Tracking and Gamification: Track users' progress as they complete exercises. Community Interaction: Allow users to share their code and solutions with the community. They can ask questions, receive feedback from peers, and collaborate on solving challenges. Learning Paths: Offer predefined learning paths that guide users through a series of exercises, gradually increasing in complexity. Learning paths can be tailored to different programming languages and concepts.

Tutor with StableCode
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Streamlit
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StableCode

RicAI Autonomous Testing Agent

In simple words, delegating the time consuming and expensive software testing processes to an agent The overall vision of such tool would be to: 1. Understand (complex) software requirements and business logic 2. Generate test cases 3. Work with unit tests, usability and acceptance tests (tools like Selenium, etc.) 4. Provide feedback and test reports The following was implemented: 1. Code storage and retrieval tool: [github repo](https://github.com/liskovich/ricai_codestore_tool/tree/master) 2. Unit test generation tool: [github repo](https://github.com/liskovich/ricai_unittestgen_tool/tree/master) 3. Overall SuperAGI agent with integrates tools (mentioned above) + additional steps for report sending: [github repo](https://github.com/liskovich/ricai_superagi_instance/tree/main) For the testing example, I used one of my old repos: [samole repo](https://github.com/liskovich/CV_generator) Tech used: 1. SuperAGI agent framework for the core 2. Weaviate vector database for code storage and retrieval 3. GPT-Engineer for unit test generation

RicAI
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Automating creating Tidy Data

We believe that the cause why many data science projects fail is that are error-prone and long winding data cleaning processes. We are building the tool - tidyAI - for data scientists that automates data preprocessing and cleaning. tidyAI is built on top of an AI agent, which can adapt to the particular challenges present in the data file. The planner detects the mistakes present in the data that might prevent a future analysis or visualization and generates a list of transformations to apply. The executor takes the top transformation and applies it to the dataset. We do not want to take over the job of a data scientist and analyst, we want to free him up from the grunt work, the work he hates to do, so the data scientists can focus on the work that excites them and that provides value: the analysis.

Munich-AI-Agents
medal
Vercel
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FutureSync - Transforming Business Dynamics

FutureSync, a groundbreaking innovation poised to reshape the very foundations of business operations. This exceptional platform seamlessly fuses the prowess of AI-driven customer support, real-time market insights, and astute executive assistance. By doing so, FutureSync propels businesses into a realm of untapped potential, capitalizing on the forefront of technological advancement to refine customer interactions, decipher intricate market trends, and fortify executive decision-making. From cultivating personalized customer engagement to orchestrating strategies rooted in data-backed wisdom, FutureSync charts the course for businesses to triumph within the dynamic and ever-evolving business landscape. A steadfast companion in the voyage of growth, productivity, and unwavering support, FutureSync stands as the guiding light, steering businesses toward a future that is both prosperous and efficient. Business Points: Holistic Integration: FutureSync is designed as an all-inclusive solution that bridges customer-centricity, market acumen, and executive precision. This integrated approach aligns with contemporary business demands for comprehensive solutions. Competitive Edge: By harnessing AI-powered customer support and market insights, FutureSync equips businesses with a distinct competitive edge. Swift and tailored customer interactions and real-time market analysis bolster decision-making, positioning businesses ahead of their peers. Empowered Decision-Making: The executive assistance component elevates executive decision-making by amalgamating data-driven insights with strategic direction. This synergy fosters informed choices that drive business growth and sustainability. Operational Efficiency: FutureSync's seamless navigation between growth, productivity, and support enhances operational efficiency across all facets of business. Streamlined processes and refined customer engagement contribute to overall effectiveness.

Enigma
medal
Vercel
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evo-ninja

Evo.ninja 1. Learns new scripts on-the-fly - evo.ninja can tap into script libraries to learn new functionality, all at run-time. 2. Can write its own scripts - evo.ninja can write its own scripts if it can't find those it needs in the script library. 3. Local-first script execution - evo.ninja can run scripts locally, no need for expensive backend architecture. It executes scripts to achieve a goal. It is capable of using fuzzy search to find and execute any script in its library. Scripts are namespaced JavaScript functions with typed arguments and a description. If it can not find a script, it will write one itself.

evo.ninja
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FlowFacts AI - Deep research agent

Our project aims to create an AGI agent for research and validation. The agent conducts deep research, takes notes, and generates a research document summarizing a given claim. It follows a specific workflow, starting with the user providing a claim and supporting information. The agent then uses deep research tools to gather information, search the web, scrape relevant data, and summarize it in notes files. It iterates on different topics and uses a writer tool to generate a final research document. The project includes various components such as internet search and scraping, the Deep Research Toolkit, and SuperAGI tooling. Overall, the project aims to provide an efficient and thorough AGI agent for research, understanding claims, and validating information, while also highlighting potential areas for further investigation or evidence that refutes the claim Ultimately, we want to make research process up to 10x times faster.

AI agent for researchers
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StoryForge

StoryForge is an agent to create image-based video content for social media with AI, for people and businesses with a message. The concept : Goal : Easily generate video content for social media Idea : a text to image story generator that generates image-based video content with voice over for brands, influencers and digital marketing agencies. How it works : - User gives a few inputs in a fast, simple way - Prompt templates based on LangChain and generative text on GPT. - The images are made with Stable-Diffusion-v1-5 - The generative voice is made with ElevenLabs and pyttsx3 Advantages for users : - Generate engaging video content for social media, tailored to your message and brand, communication strategy and tone - Improved consistent communication throughout time, in order to truly convey your message - Leverage the full potential of AI and post more often and better content - Video content is more engaging Our tool tackles the obstacle to social media growth: Posting more - The more you post to Instagram, the more likes you get - Only 5% of Instagram accounts post one per day or more

storyForge
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ATLAS

Startups and venture capital firms have a lot of business system materials to define and generate. To name a few: -Create an LLC -Create articles of incorporation -Create an Operating Plan -Create a business plan -Conduct market analysis -Conduct Investment planning -Write up legal disclaimers, -Build a website landing page -Generate branding materials With ATLAS, you can reduce the amount of time it takes to build your startup’s business system materials from months to minutes. Signup, fill in the forms and let autonomous agents take care of the rest. Redirect more of your time toward developing and delivering the best product to your customers. ATLAS is an intuitively integrated autonomous agent system which uses Claude, OpenAI and llama_index. It performs searches based on a few target areas, including market analysis, investment prospects, scalability, sustainability and more. After the finalized data is generated, ATLAS will then generate the text and PDF for the document. Taking charge of business system materials generation, using data-driven AI, ATLAS generates exceptional business value for startups by freeing up more time (one of the most valuable assets for startup founders) and delivering valuable business system materials at a fraction of the traditional cost. There are currently no other apps which complete all of the business system materials generation tasks that ATLAS offers. ATLAS will transform the business system materials generation app space by functioning as an all-in-one solution to create the different business system materials required for a startup. Technology Tags: Anthropic Appwrite Astro cChardet ChatGPT ChromaDB FastAPI Fooocus Langchain Llama-hub Llama-index lxml Metaphor_python n8n Pydantic PyPDF R3f SentenceTransformers Svelte Trafilatura validators

RentEarth.com
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Polisplexity 3D AI SimulationsSmart Cities

Polisplexity is an avant-garde initiative converging the realms of 3D generative AI and urban development. It goes beyond traditional city planning tools, taking a futuristic approach by seamlessly integrating human-centric simulations. With this, Polisplexity creates a lifelike reflection of city dynamics, offering an unmatched depth in understanding how urban structures interact with their inhabitants. Decision-makers are equipped with a holistic platform, letting them visualize, analyze, and iterate urban designs. As a result, cities of tomorrow can be crafted today—spaces that are not just architecturally sound, but also sustainable, efficient, and human-friendly. Polisplexity is the bridge between today's urban challenges and tomorrow's urban solutions.

Hadox Human Networks
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Crafting 3D Gaming Experiences with Flow AI

🌌 Flow AI: Crafting Gaming Experiences Beyond Imagination Flow AI is your gateway to revolutionizing gaming experiences. Dive into a realm where imagination knows no bounds, crafting dynamic 3D environments and agents that breathe life into virtual worlds. Our platform empowers you to build templates for environments and agents, serving as the foundation for unique gaming adventures. Harness the power of shap-e, a groundbreaking technology that generates intricate environments and lifelike agents with ease. Customize your world by defining base rules that dictate agent interactions, creating immersive scenarios that captivate players. Imagine crafting stunning 3D models using text in a matter of seconds. With Flow AI, this becomes your reality. Whether you're a game developer aiming to streamline production or an enthusiast with a vision, Flow AI offers the tools you need. Witness your concepts spring to life, interact, and evolve in ways you've only dreamed of. Immerse players in narratives shaped by your creative genius. Step into the future of gaming with Flow AI. Unleash your imagination, craft your worlds, and redefine the way players engage with virtual realities. Elevate your gaming experiences today. 🚀🎮 #FlowAI #GamingInnovation

FlowAI
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Archiflow Dream Design with AI

Archiflow is a groundbreaking project at the forefront of architectural innovation, harnessing the power of advanced AI to redefine the design process. Addressing the traditional challenges faced by architects in translating ideas into tangible creations, Archiflow offers a revolutionary platform that seamlessly converts textual descriptions into intricate 3D architectural marvels. This technology eliminates barriers, making architecture accessible to diverse creators, from seasoned professionals to aspiring designers. Archiflow enables collaborative, real-time design, incorporating virtual and augmented reality for immersive exploration. By leveraging the cutting-edge Shap-e AI by OpenAI, Archiflow empowers architects to shape their visions with precision and efficiency, ultimately shaping a more inclusive, sustainable, and visually stunning architectural future.

Maverick
medal
Vercel
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Thread of Life

3D technologies like AR and VR have recently proven to increase customer engagement and acquisition in the fashion industry. However, fashion brands/designers need to possess or access the necessary 3D modeling skills to create the asset they need to take advantage of this trend. This lowers the barrier to entry for most fashion brands in emerging markets, having them being left behind. Our team thinks we can solve this problem for them by offering a simple tool that automates the creation of 3D assets. We created a simple prototype using ReactJs and Dreamfusion that allows users to upload images of the clothes. The image is analyzed and the clothes detected are cropped out. We use magic123 which creates probabilistic images of the clothing from different camera views and uses them to generate the 3D model in gLTF format. The model is then presented back to the user in the app. We plan to add an Augmented Reality view of the 3D models and a way for users to embed these views in their online digital properties.

Klurdy AI
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DesignDive

Our project aims to leverage Shap-e and other text-to-3D model technologies to enable users to build 3D models through text prompts. This innovative approach breaks down the barriers that often discourage those without specialized training from engaging with 3D modeling. Interior Designers and Decorators: By describing a room layout or furniture arrangement using simple text prompts, designers can instantly visualize their concepts. This can lead to a more efficient and collaborative design process, allowing both professionals and clients to experiment with various aesthetics and layouts. Game Developers and Animators: In the fast-paced world of game development, rapid prototyping is key. Our platform offers game developers a way to quickly sketch out characters, scenes, and objects through text, facilitating collaboration and creativity. Architects and Urban Planners: The complexity of architectural design demands tools that are both powerful and flexible. By converting textual descriptions into detailed 3D models, architects can experiment with different building structures, materials, and environments.

DesignDive
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