The Smart Network Infrastructure Planner builds on the findings of the PASQAL Hackathon on Quantum Computing, which revealed the significant risks that climate change poses to telecommunications infrastructure, with disruptions expected to escalate in underserved regions by 2047. Using these insights, the planner integrates AI, quantum computing, and dynamic datasets to optimize telecommunications deployment, focusing on climate resilience and improving connectivity in vulnerable communities. Key innovations envisioned for the planner include: Dynamic AI-Driven Analysis: Predicts vulnerabilities and recommends climate-resilient strategies, enhancing operational efficiency, reducing downtime, and minimizing risk. Integration of Hugging Face Datasets: Provides real-time, adaptive planning by leveraging environmental and demographic data to identify and prioritize high-need areas. Interactive Streamlit Application: Empowers stakeholders to simulate deployment scenarios, visualize complex data, and collaborate effectively, fostering alignment and better decision-making. Budget Optimization: Prioritizes resource allocation for underserved regions, ensuring cost efficiency and maximizing ROI while addressing connectivity gaps. Sustainability Metrics: Embeds long-term resilience and environmental standards into planning to support sustainable development goals and enhance corporate social responsibility. These features deliver measurable business outcomes, including enhanced network reliability, optimized resource utilization, cost savings, and improved service in underserved regions. By addressing both current and future challenges, the planner empowers organizations to bridge the digital divide, mitigate climate risks, and unlock new opportunities in emerging markets. It transforms research findings from the PASQAL Hackathon into actionable strategies that support sustainable and equitable connectivity while creating competitive advantages in uncertain environments.

Welcome to the Paul Graham Life Coach AI App! 🎉 This app brings the wisdom of Paul Graham—legendary entrepreneur, venture capitalist, and essayist—right to your fingertips. By leveraging AI-powered vector search combined with insights from his iconic essays, the app delivers witty, edgy, and profound advice, just as if Paul Graham himself were guiding you through your toughest challenges. Whether you’re seeking startup tips or life advice, AI Paul Graham is here to offer sharp, candid responses tailored to your queries How does the app works? - The app connects to a MongoDB Atlas database containing Paul Graham's essays. 📚 - When a user inputs a query, the app uses OpenAI embeddings to convert the query into a vector. 🧠 - MongoDB Atlas performs a similarity search to find the most relevant essay snippets based on the query. 🔍 - These snippets are then passed into a system prompt where the AI simulates Paul Graham's advice. 📝 - The response is returned in the chat interface, formatted in Paul Graham's unique style. 💬

Through this exercise, we gained key insights into how propagating systems can improve patient care management, particularly with the FlagShip framework. FlagShip applies the principles of Uniqueness and Many Eyes to propagate 30 agents through time, enabling us to observe treatment outcomes. With MindsDB assigning precision care and Strawberry projecting outcomes, we can evaluate treatment effectiveness with high accuracy. The Principle of Uniqueness suggests that spatial points can be arranged in any configuration as long as each remains unique. Using this, we reduced our problem to a 90-vertex hypercube. MindsDB set the initial states, while Strawberry projected them to the final state across the vertices. This allowed us to simplify complex scenarios while maintaining the agents' unique characteristics. The Principle of Many Eyes asserts that knowing one aspect of a system allows insight into the entire system, thanks to symmetries in MD-space. Unlike traditional functions, which have one input and output, MD-systems generate multiple outputs from a single input. This enabled us to predict all 30 agents' outcomes simultaneously, making the care projection more efficient. As a result, Strawberry reliably indicated treatment effectiveness. In cases where the treatment was predicted to fail due to medication intolerance, this insight helped physicians avoid ineffective therapies and explore better alternatives or focus on improving the patient’s quality of life through traditional means. Conversely, when treatments were predicted to succeed, they could be confidently applied, ensuring favorable outcomes. This approach not only improves patient care but also reduces unnecessary costs from ineffective treatments. By using FlagShip’s predictive systems, we are advancing more personalized, cost-effective, and precise healthcare strategies.

Granite Gurus Many Eyes is an extension of three previous Hackathons: Build Your AI Startup, Codestral, and Edge Runners. This Hackathon introduced two powerful principles: (1) Uniqueness and (2) Many Eyes, both of which were crucial in advancing the exploration of Multidimensional (MD) space. These principles were effectively demonstrated through a custom search engine built on top of IBM Granite, highlighting their transformative potential. The Principle of Uniqueness asserts that spatial points can be arranged in any configuration as long as the number of points remains constant and each point is unique. This principle underpins the 2D Infinite Plane, which aids in visualizing interactions in higher dimensions and emphasizes representing numeric values as symbols rather than numbers to reduce computational costs. The Principle of Many Eyes posits that knowing one aspect of a system allows for understanding the entire system, thanks to the symmetries in MD-space. Unlike traditional programming, where functions have a single input and output, MD-systems can yield multiple outputs from a single input by leveraging these symmetries. This was illustrated in our use of IBM Granite for pattern search, which returned multiple results due to MD-space symmetries, and then predicted the next pattern, showcasing the system's adaptability. Integrating IBM Granite with the 2D Infinite Mathematical solution creates a powerful combination that enhances search engine performance by reducing computational overhead, improving accuracy, and accelerating processing times. This approach not only offers a superior user experience but also aligns with sustainability and cost-saving goals, positioning the search engine as a leader in the AI-driven market. By optimizing resources and delivering faster, more accurate results, this project demonstrates the potential to revolutionize search technology, making it a valuable asset for businesses aiming to lead in the AI space.

Resume building can be time-consuming and ineffective if not done correctly. Getting resumes through the ATS (Applicant Tracking System) requires a different approach, which the Falcon Song-Bird application addresses. Our application starts with an introduction to Falcon Songbird, providing an overview of its features and benefits. Next, the interactive Manual Resume Assistant helps you upload your resume and job description, create a summary, define job roles, identify keywords for technical skills, and update work history, education, and certifications. It also identifies missing skills for training purposes, writes a cover letter, and collects all materials for download. This system allows you to fine-tune a configuration file of algorithms for the next phase. The Automatic Resume Builder uses this configuration file to generate a polished resume tailored to your needs. The Course Creator develops a zero-to-hero course with 10 hands-on exercises to help you upgrade your skills. Finally, the Scoring Utility evaluates how well your resume matches the job description, providing a score, that highlights strengths and areas for improvement. From a business perspective, Falcon Songbird offers several benefits: Increased Efficiency: Automating the resume-building process saves time, allowing job seekers to focus more on their job search. Higher Success Rates: Advanced algorithms tailored to pass ATS filters increase the likelihood of your resume being seen by hiring managers. Skill Enhancement: The Course Creator identifies skill gaps and provides a structured learning path to bridge them. Customization: The Manual Resume Assistant and Automatic Resume Builder ensure unique and accurate resumes. Objective Evaluation: The Scoring Utility gives actionable insights to improve your resume. Overall, Falcon Songbird streamlines the resume-building process, increasing your chances of landing your desired job while enhancing your professional skills.

Interview Builder revolutionizes career preparation and document customization. Using the LangFlow interface, it analyzes job advertisements against user resumes to create job summaries, resume rubrics, personalized interview training programs, updated resumes, and tailored cover letters. This tool aims to streamline the job application process with strategic, personalized AI guidance. Features: Job Ad Summarization: Function: Extracts key information and requirements from job ads. Benefit: Provides concise summaries to help users quickly understand roles and identify critical skills. Resume Creation and Updating: Function: Compares resumes to job descriptions to identify strengths and improvements. Benefit: Suggests modifications to align skills with job requirements, enhancing resume relevance. Interview Training Programs: Function: Designs personalized training programs with practice questions and tips. Benefit: Helps users prepare effectively and boost interview confidence. Cover Letter Creation: Function: Assists in crafting tailored cover letters that highlight qualifications. Benefit: Ensures alignment with job descriptions and strengthens candidacy. Business Benefits: Efficiency: Saves time by providing concise job summaries and tailored documents. Personalization: Offers guidance to create standout applications. Preparedness: Equips users with strategies for successful interviews. Conclusion: Interview Builder enhances the job application process by providing strategic, personalized advice. It saves time and significantly increases the chances of securing job offers. Participants in the hackathon will contribute to a project with the potential to impact job seekers' success rates in a competitive market.

Our project, WorkFusion, is a revolutionary freelancing platform designed to empower freelancers and clients by leveraging cutting-edge AI technology. At its core, WorkFusion aims to simplify and enhance the proposal writing process, enabling freelancers to craft high-quality, professional proposals effortlessly. Our AI-driven tool analyzes job postings and automatically generates tailored proposals, ensuring that freelancers present their skills and experience effectively. WorkFusion also offers robust project management features, allowing clients to post projects, review bids, and collaborate seamlessly with freelancers. With secure payment processing, comprehensive user profiles, and an intuitive messaging system, WorkFusion fosters a collaborative and efficient freelancing ecosystem. This platform not only streamlines the proposal creation process but also helps freelancers secure more projects and clients find the best talent, ultimately transforming the freelancing experience for all users.

The Anatomy Mentor integrates the Gemini API, enriching its functionality with real-time access to anatomical data and resources. Leveraging Gemini's vast database, the Mentor enhances explanations with up-to-date information, ensuring accuracy and relevance. Additionally, it utilizes Gemini's image recognition capabilities to augment its image processing features, accurately identifying anatomical structures within uploaded images. This seamless integration enables students to delve deeper into anatomical studies, accessing a wealth of resources and insights at their fingertips. By harnessing the power of the Gemini API, the Anatomy Mentor provides a comprehensive and dynamic learning experience, setting a new standard in anatomy education.

GlucoGuide serves as your personal medical assistant. It's designed to make managing your diabetes easier and more convenient. Our app takes into account your unique sugar levels and dietary preferences to generate personalized food and recipe recommendations. We prioritize nutritional balance, portion sizes, and your overall well-being to ensure you receive suitable meal options. Additionally, our app offers exercise suggestions tailored to your fitness level, considering any limitations or restrictions you may have. With our app, you'll have the tools and guidance you need to lead a healthier lifestyle and effectively manage your diabetes.

🤖 You have 4 weeks to build. Join in at any point! 🌐 Connect with a global tech community. 🎉 Win from a $30,000 cash prize pool. 💾 The winning agent will become the AutoGPT in the 150000 star repository! 🚀 You may continue your startup journey after the Hackathon! 🖥️ Utilize Weaviate as the vector database for your agent with open access.

🚀 Access Models with Clarifai Get access to advanced models released by OpenAI recently through Clarifai platform! Build with the Latest Technology Today - GPT-4(Vision), Assistants API, Text to Speech, GPT-4 Turbo, Image Generation DALL·E API!

• 🕒 24 hours of commitment • 🤝 Take part alone or form a team with other participants • 🚀 Learn to create your own basic app with CustomGPTs, or try the open-source alternative from LangChain • 🧑🏻‍💻 Even without coding knowledge, you can easily create your own GPT. However, if you're familiar with coding, you can leverage it to enhance your custom GPT and take it to new heights of performance