Khuram Hanif@khuram_hanif243

Our project leverages a client-server model, using Flutter as the client-side application and Streamlit as the server-side platform. The Flutter app is responsible for collecting real-time network performance data such as latency, packet loss, bandwidth, and other key metrics directly from the user's device. This app serves as the interface for the end user, providing a simple and intuitive dashboard for monitoring their network health. On the other hand, Streamlit acts as the server-side component, where the collected data is sent for processing and analysis. Through Streamlit, we integrate AI algorithms to analyze network performance, detect potential issues, and provide actionable recommendations. The AI model helps to predict and troubleshoot network problems before they affect service quality. Streamlit also handles data visualization, presenting the results to the user in a clear and insightful way. This architecture is powerful because it separates the responsibilities of data collection and analysis, allowing for a flexible and scalable solution. Flutter ensures that the user has a seamless experience, while Streamlit handles complex computations and provides robust backend support, making the entire system efficient and easy to scale. By using Flutter and Streamlit together, we provide a complete solution that enhances connectivity management, specifically for public sector institutions such as schools and health centers in underserved regions.

The AI-Powered Disaster Response System scans social media in real-time using DeepSeek AI/ML to detect disaster alerts & categorize theem into 3 categories based on severity level Smart Chatbot with DeepSeek RAG answers emergency queries using past disaster reports & safety guidelines which uses embeddings and vector database Voice Recognition enables non-English speakers to get real-time support. Emergency Alerts & Preparedness Guides ensure quick & informed action and provide links to youtube videos. It provides guidelines, psychological support and preaparedness checklist. We are working on integrating live location, IoT device integration and decentralized communication network