QuakeGuardGPT: Intelligent Seismic Monitoring Platform QuakeGuardGPT is an advanced, AI-driven seismic monitoring and response platform designed to revolutionize the way governments, organizations, and communities prepare for and respond to earthquakes. By directly integrating with the USGS earthquake feed and other global seismic networks, the system ensures real-time access to the most accurate and up-to-date seismic activity data. Leveraging the power of GPT-4, QuakeGuardGPT provides expert-level seismic interpretation, translating complex raw data into meaningful insights that are easy to understand for decision-makers, emergency responders, and the public. The platform’s Risk Assessment Engine automatically evaluates seismic events, assigning risk scores and classifications based on magnitude, depth, population density, and infrastructure vulnerability. These assessments feed into Interactive Visualizations, including dynamic maps and analytical charts that allow users to explore patterns, predict potential aftershocks, and evaluate historical trends. To support real-world impact, QuakeGuardGPT integrates seamlessly with Emergency Response Protocols, delivering clear, actionable guidance tailored to each region’s needs, from evacuation routes to resource allocation. Its Multi-Regional Support ensures global coverage while allowing for localized customization, providing culturally and geographically relevant recommendations. By combining real-time monitoring, AI-powered analysis, and actionable emergency integration, QuakeGuardGPT acts as a reliable partner in earthquake preparedness, response, and resilience building worldwide.

Code Genie is an AI-powered Streamlit application designed to assist developers, students, and teams in analyzing, reviewing, refactoring, and documenting source code across multiple programming languages. The platform integrates advanced AI capabilities to offer a smarter and more personalized coding assistant experience. At its core, Code Genie leverages the Groq API with the LLaMA model to power a range of intelligent features, including: Code Explanation: Understand complex logic with natural language breakdowns tailored to user skill level. Semantic Search: Find relevant functions, files, or logic based on the meaning of user queries—not just keywords. Workflow Reporting: Automatically generate summaries and insights about code structure and quality. Error Detection: Identify potential bugs, anti-patterns, or inefficient implementations. Unit Test Generation: Create boilerplate or advanced test cases automatically based on existing functions. To complement these features, Blackbox AI API is used for: Code Refactoring: Clean up, optimize, and restructure code based on AI-powered analysis. Additionally, the Blackbox AI agent was used via its official Visual Studio Code extension—not as a built-in integration—to automatically generate inline code comments. This feature supported the documentation module by providing accurate and context-aware comments based on code structure. Every page in Code Genie requires users to select: Programming Language Skill Level (Beginner, Intermediate, Expert) Developer Role (e.g., Backend, Frontend, QA, Student) Preferred Explanation Language (e.g., English, Urdu) These inputs allow Code Genie to personalize all outputs—ensuring that code insights, suggestions, and explanations are context-aware and user-friendly. By combining Groq’s high-speed LLaMA models with Blackbox AI tools, Code Genie provides a robust, AI-powered environment for improving code quality, understanding, and productivity.

AI Climate and Farming Assistant is a dynamic Streamlit-based web application that utilizes the power of LLaMA 3 (via Groq API) to deliver intelligent, real-time insights on climate, air quality, and agricultural trends. Designed to support farmers, environmental analysts, and researchers, the app provides natural language understanding to answer complex climate and crop-related questions instantly. By integrating Open-Meteo API, it delivers accurate, real-time weather forecasts and pollution data tailored to specific locations. Users can input queries like “What’s the air quality forecast for Lahore tomorrow?” or “How will temperature trends affect wheat yield this week?”, and receive precise, language-based responses enriched with interactive charts using Plotly. The app also enables users to upload CSV datasets, such as farm yield records, temperature logs, or rainfall patterns, which the AI can analyze, summarize, and visualize. Whether it’s identifying weather trends, planning irrigation schedules, or detecting anomalies in crop performance, the app converts complex data into clear and actionable insights. It’s built for usability and speed, making it an essential AI-powered companion for sustainable agriculture and environmental decision-making.

**EduConnect** is an AI-driven chatbot designed to bridge the education gap by connecting students, educators, and institutions in underserved regions. It leverages advanced AI models to analyze real-time data, predict challenges, and provide actionable solutions to enhance learning accessibility and quality. With EduConnect, users can: ✅ **Access Real-Time Insights** – Identify challenges faced by schools, colleges, and universities. ✅ **Predict & Solve Problems** – AI-powered recommendations for educational improvement. ✅ **Enhance Connectivity** – Connect institutions with resources, policies, and opportunities. ✅ **Support Decision-Making** – Data-driven guidance for policymakers, teachers, and students. By utilizing open-source AI models, EduConnect ensures affordability, scalability, and inclusivity, empowering students worldwide with better educational opportunities.

COSMOLAB Multilingual Agent is an AI-powered platform designed to make space knowledge accessible in multiple languages. It integrates NASA data, speech-to-text processing, and AI-driven agents to provide accurate and engaging explanations of space-related topics. Users can ask questions via text or upload an audio file, and the system transcribes and processes queries in various languages, including English, Spanish, French, German, Chinese, and Arabic. The AI agents—one focused on research and the other on education—collaborate to analyze NASA’s latest data, verify facts, and explain complex space concepts in simple, easy-to-understand terms. By leveraging Hugging Face’s advanced AI models and FAISS for knowledge retrieval, COSMOLAB ensures that responses are both informative and linguistically accurate. The tool is ideal for students, educators, and space enthusiasts who want to explore the universe in their preferred language. With a user-friendly interface built on Streamlit, COSMOLAB offers seamless interaction, allowing users to switch between languages effortlessly. The speech-to-text feature enhances accessibility, making it easier for people with different learning preferences to engage with space science. Whether you are curious about black holes, Mars missions, or the latest NASA discoveries, COSMOLAB provides detailed, reliable, and multilingual insights. Powered by cutting-edge AI and real-time scientific data, it bridges the gap between space research and global audiences, fostering a deeper understanding of the universe.

This project aims to develop a Retrieval-Augmented Generation (RAG) application designed to predict lung cancer risks using a comprehensive health dataset. The dataset includes critical features such as gender, age, smoking habits, anxiety, chronic diseases, and symptoms like coughing, wheezing, and chest pain. The RAG framework combines a robust retrieval system with generative AI to deliver precise and contextual insights. By analyzing input data, the application predicts the likelihood of lung cancer and provides evidence-based recommendations for early detection and intervention. Built on Groq and deployed via Streamlit, this solution empowers healthcare providers and individuals to make informed decisions.

It’s a great opportunity to: 🚀 Leverage Google’s advanced Gemma 2 models to create cutting-edge solutions. 💰 Access resources to support your project development. 🌟 Receive guidance from expert mentors throughout the hackathon. 🤝 Work solo or in teams to bring your ideas to life. 🏆 Compete for a chance to choose from unique Google swag and enjoy an opportunity to meet the Gemma team for the best solutions! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot! 🗓️ On-site Workshops: Join us in-person at Google Cloud Space in London on 28th November from 5:00 PM to 9:00 PM UK time (GMT) for hands-on workshops

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🕒 2 days to innovate and build groundbreaking applications using the latest generative AI tools 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!