SafeGuardian

Emergency query chat bot
Emergency status updates
Optimized Path detection using NVIDIA cuOpt

Inspiration

SafeGuardianAI aims is an innovative AI-powered system aiming to revolutionize the emergency first aid response during natural catastrophes. During natural catastrophes such as earthquakes, floods or fires a number of emergencies can arise all at once. For example, a family might be trapped in a fire while another individual may find himself severely injured. While another family might be isolated due to flood water rising. In such situations, emergency resources may be strained, with a limited amount of ambulances, fire trucks and search teams at hand and it might become harder with standard navigation apps when roads and bridges collapse and traditional methods of coordination may become overwhelmed SafeGuardianAI at its foundation establishes a vital connection between individuals and rescue teams addressing the pressing issues that current emergency response frameworks face. SafeGuardianAI is dedicated to tackling these challenges in a few different ways

What it does

Collects critical information from people needing help through text, voice, or automatic detection Works without internet because communication networks often fail in disasters Uses AI to assess situations and prioritize responses Creates smart evacuation routes considering destroyed infrastructure Helps communities coordinate local support before official help arrives Stores vital medical information that emergency services might need Supports multiple languages to help diverse populations Operates on minimal power for extended emergencies

When hundreds of emergency reports come in simultaneously, the AI analyzes each situation's urgency, available rescue resources, accessible routes, and other critical factors. It then provides rescue teams with clear, actionable information about who urgently needs help and how to reach them efficiently.

How we built it

Safe GuardianAI's Tech stack includes Frontend: Streamlit - for rapid development of interactive web applications Backend: Python - leveraging its rich ecosystem of data science and AI libraries Database: Firebase Realtime Database - for real-time data synchronization and offline support AI/ML: AWS amazon bedrock - powering intelligent conversations and decision-making Geolocation: Custom WiFi & IP-based tracking - for accurate location services even in challenging environments Text-to-Speech: ElevenLabs API - providing natural-sounding voice interactions Mapping: KeplerGL - for advanced geospatial visualizations Path Optimization: NVIDIA cuOpt - for efficient resource allocation and routing

Achivements we are proud of

Our project has already successfully acquired first place in Super-AgentAI hackathon at Stanford Research Park

What's next for SafeGuardian

Pilot Testing (Q3 2024) Launch SafeGuardianAI in high-risk areas to collect user feedback and fine-tune features—partner with local emergency response teams to test in real-world scenarios.
Government Integration (Q4 2024)
Forge partnerships with public safety agencies to embed SafeGuardianAI within established emergency response systems. Create secure data-sharing protocols to improve coordination between users and official responders.
Advanced AI Capabilities (Q1 2025) Deploy machine learning models for predictive analytics on disaster trends and resource allocation needs. Strengthen natural language processing for enhanced multi-lingual support and better context comprehension.
Global Language Expansion (Q2 2025)
Expand language support to encompass 95% of global languages, including regional dialects. Add real-time translation features to facilitate cross-language communication in international relief operations.
Wearable Integration (Q3 2025)
Develop APIs for integration with smartwatches and fitness trackers to enable vital sign monitoring and emergency detection. Create a specialized SafeGuardianAI wearable device for advanced tracking and communication in disaster zones.
Community Resilience Features (Q4 2025) Introduce a community preparedness score and gamified features to encourage proactive disaster readiness. Provide tools for community leaders to manage and coordinate larger groups during prolonged crises.
Scalability Enhancements (Ongoing) Continuously improve backend infrastructure to support millions of users simultaneously. Implement edge computing for faster response times and to reduce server load.