Khushal Karim@Khushal1

QubicGuard is an AI-driven transaction monitoring system built for the Qubic blockchain ecosystem. It collects live transaction data using a Flask-based webhook and simulates realistic transactions for testing purposes. The data is stored in a JSON file and displayed on an interactive Streamlit dashboard, which updates in real-time. High-risk transactions are automatically detected based on a computed risk score, providing immediate alerts to users. The dashboard visualizes transaction trends, amounts, and types, enabling actionable insights and proactive risk management. QubicGuard combines blockchain data integration, AI analytics, and user-friendly visualization, demonstrating innovation, practical utility, and readiness for real-world deployment in hackathons.

Our project, Flood Forecasting Agent, leverages AI and real-time geospatial and weather data to predict flood risks and identify nearby safe locations. The system consists of two collaborating agents: the Flood Risk Agent, which forecasts flood probability for a given location, and the Safety Agent, which recommends safer nearby areas. Built with a Streamlit front-end, the app visualizes forecasts in tables, charts, and interactive maps. We have also exposed API endpoints for potential integration. This solution demonstrates practical agentic software using Coral protocols and addresses real-world flood preparedness challenges effectively.

Our project is a python based application designed to assist patients in analyzing their prescriptions. By uploading their prescriptions and entering medicine names, the app uses transformers(huggingface) to assess the need for a second opinion. It also provides personalized suggestions for questions patients (before taking prescribed medicines) to ask their doctors to avoid potential side effects or medication-related issues. The app aims to empower patients to make more informed decisions about their health, promoting safer medication practices and fostering communication between patients and healthcare professionals.

Our app transforms bland, raw rooms into aesthetically pleasing spaces by suggesting design solutions based on user input (images and text). Utilizing HTML, CSS, and JavaScript, we analyze the provided data to recommend tailored design options that enhance the room's appearance. This intuitive interface ensures users can easily visualize and implement design changes, creating personalized, beautiful spaces with ease. Whether you're looking to refresh a single room or redesign an entire home, our app provides the inspiration and guidance needed to achieve stunning results. Additionally, users can explore a variety of design themes.

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