Inspiration
Our project was inspired by the LA wildfire incident, which pointed out the critical defect of current internet network.
What it does
Our solution provides support in disaster-stricken areas by enabling users to locate nearby shelters, hospitals, and police stations without requiring an active internet connection. In life-threatening situations, users can send distress signals with a single button press, allowing their location to be tracked and shared with nearby emergency responders.
How we built it
Our platform is designed to operate in disaster scenarios—such as the recent Los Angeles wildfires—that cause power outages and network failures, crippling traditional communication channels. To address this, we developed a distributed network-based location sharing system using an autoscalable container orchestration architecture. By integrating Kubernetes with Docker, our system automatically scales the cluster based on incoming traffic. A queue server—similar to AWS SQS—is deployed as an intermediary aggregation layer, where each node pushes its data into the filtering queue. This server dequeues requests, filters out duplicates, and forwards unique requests to the main server, ensuring that the primary database isn’t overwhelmed. With Kubernetes handling automatic scaling to prevent filter server overload, our platform remains robust and resilient even under extreme conditions.
Challenges we ran into
It was hard to implement every features in time and suffered submitting though
Accomplishments that we're proud of
We implemented frameworks that cooperates well and we are proud that the topic is creative and helpful for lots of people.
What we learned
We should always try to manage time well.
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