SustAInxt

SustAInxt

Inspiration

We live in a world where food can be delivered in minutes, taxis arrive instantly, and information travels at lightning speed yet during emergencies, help is often delayed. This contradiction inspired SustAInxt.

Aligned with the UN Sustainable Development Goals (especially SDG-11: Sustainable Cities & Communities and SDG-12: Responsible Consumption & Resilient Infrastructure), we asked a simple but powerful question:

If AI can optimize convenience, why can’t it optimize survival?

SustAInxt was born to bridge this gap using Gemini 3 to ensure that emergency response is as fast, intelligent, and accessible as modern digital services, while remaining sustainable and inclusive.

What it does

SustAInxt is an AI-powered smart city emergency platform that enables real-time incident detection, analysis, and response.

Citizens upload images or videos of incidents (fire, flood, accident, disaster).
AI instantly analyzes the situation, identifies severity, and extracts location.
The system provides clear safety instructions, visualizes the incident on a live map, and alerts authorities automatically.
Information is translated into multiple languages to ensure inclusivity.
Verified incidents are shared with the community for awareness and prevention.

All of this happens in real time, minimizing response delays and reducing impact.

How we built it

SustAInxt is entirely achieved using Gemini 3 models as the core intelligence layer.

🔧 Technical Stack

Gemini 3 Vision – Incident detection, classification, and severity analysis from images/videos
Gemini 3 Multimodal Reasoning – Contextual understanding, recommendations, and decision logic
Gemini 3 Language Models – Multilingual translation and instruction generation
Next.js + React – Frontend UI for uploads, map view, and live updates
OpenStreetMap – Tactical GIS visualization
Twilio (Voice/SMS) – Emergency alert dispatch
Cloud-based deployment (Vercel) – Scalable and sustainable hosting

No external AI models were used — Gemini 3 alone powers the entire intelligence pipeline.

Challenges we ran into

Designing a fully automated decision flow without human intervention
Handling real-time media analysis with accuracy and confidence scoring
Ensuring multilingual emergency clarity, not just translation
Balancing technical depth with user simplicity
Deploying sensitive alert workflows securely and reliably

Each challenge pushed us to deeply understand Gemini 3’s multimodal and reasoning capabilities.

Accomplishments that we’re proud of

Built a complete end-to-end AI emergency response pipeline
Achieved vision, language, reasoning, and decision-making using only Gemini 3
Integrated real-time GIS mapping + AI voice dispatch
Designed a system aligned with global sustainability goals
Created a solution that is scalable, inclusive, and hackathon-ready

Most importantly, we built something that can save time — and potentially lives.