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  "Secure Sensor Initialization: Requesting real-time access to vision, sonar audio, and GPS to activate the life-saving reasoning engine."

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  Eye-ResQ Interface: The tactical command center is online and operational. Ready for secure data uplink and structural telemetry analysis.

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  Intelligence at Work: Ingesting high-definition drone footage. Gemini 3 starts the multimodal reasoning to isolate collapse risk factors.

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  "Tactical Reasoning Core: Parsing visual data to calculate collapse probabilities, detect bio-signatures, and plot safe entry vectors."

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  Advanced Simulation Mode: Using a rhythmic sonar radar to detect acoustic life signs when visual visibility is zero under debris.

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  Resilient Edge Architecture: Tracking real-time AI quota and connection status to maintain persistent situational awareness.

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  Tactical Map Intel: Autonomous triangulation of the nearest medical facilities to ensure zero-latency rescue logistics and survival triage.

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  Visionary Insight: Founder Yassine Behnane. Leading the architectural design of a Moroccan-born AI mission to save global lives.

💡 Inspiration

The seeds for Eye-ResQ were planted during the tragic Al Haouz Earthquake in Morocco. I witnessed how precious lives were lost because victims trapped deep under the rubble couldn't be heard, and emergency responses faced immense difficulty in navigating the unstable ruins. I realized that while rescuers have eyes (cameras), they lack a "Brain" that can instantly reason through the chaos. I wanted to build a solution that ensures no voice under the debris goes unheard.

🚀 What it does

Eye-ResQ is an AI Tactical Unit designed for rapid disaster response. By utilizing Google Gemini 3’s multimodal reasoning, it analyzes drone and rescue feeds to:

• Predict Structural Failure: Analyze cracks and building tilts to assess collapse risks with high precision.
• Identify Life Signs: Correlate visual data with sound patterns to triangulate survivors.
• Tactical Advising: Generate an instant dashboard that guides rescuers on the safest entry paths and necessary equipment.

🛠️ How I built it

Being an Industrial Technology Engineering student in my first year with limited coding experience, I faced a massive technical barrier. I didn't let that stop me. I leveraged the power of Google AI Studio to architect the entire logic core.

I focused on Sophisticated Prompt Engineering to "program" the AI's reasoning capabilities. By exporting the project to React and TypeScript via AI Studio, I transformed a conceptual prompt into a functional digital prototype.

🧗 Challenges I faced

My biggest hurdle was being a solo builder. I couldn't find a development partner, so I took the weight of the entire project on my shoulders while balancing a heavy academic schedule and final exams. Integrating API keys and managing quotas was a learning curve, but it taught me that determination is more powerful than syntax knowledge.

🎓 What I learned & The Future

I learned that being "just a student" is an advantage, not a limit. I turned my lack of coding skills into a mastery of AI orchestration. Eye-ResQ isn't just a hackathon entry; it is a global vision. My goal is to develop this into an enterprise-grade system that can be deployed on hardware locally (Edge AI) to save lives in real-world disaster zones across the globe.

Built With

• google-ai-studio
• google-gemini-3-(1.5-pro-&-2.0-flash)
• prompt
• react
• typescript
• vite