Launching today

AURORA Lifeline

Launching today

Know who a cyclone will cut off, before the roads close

20 followers

Know who a cyclone will cut off, before the roads close

20 followers

Visit website

Issue tracking software

Turns the official IMD cyclone bulletin into a district plan: which PHCs, hospitals and villages will lose road access, how likely, when, and what to move first. Gemini reads the bulletin, 1,000+ WeatherNext and ECMWF storm futures run over every road, and code inserts every number. Officers approve everything. Open source, misses published.

Free

Launch tags:Open Source•Artificial Intelligence•GitHub

Launch Team / Built With

Dropbox SignSimple, secure eSignatures for the way your team works.

Promoted

Google Cloud Run

Google Cloud Run Hackathon

How did you use Cloud Run for this launch?

AURORA Lifeline

Maker

Cloud Run hosts AURORA Lifeline's backend: one FastAPI service in Mumbai (asia-south1) that runs every Gemini feature. It reads IMD cyclone bulletin PDFs and checks each value in code, drafts Telugu, Hindi and English advisories with every number inserted by code, builds CAP 1.2 alerts, voices them with Gemini TTS, runs our Agent Development Kit agent, and assesses field photos after landfall. The map and forecasts are static files on Firebase Hosting's CDN, so most visitors never touch Cloud Run, and it scales to zero between storms. GitHub Actions builds the container after tests pass and deploys it through Artifact Registry with Workload Identity Federation, so no keys are stored. Gemini answers are cached in Cloud Storage, requests are rate-limited per visitor and capped daily in Firestore, and secrets live in Secret Manager. That keeps a public-good disaster tool fast, safe and nearly free to run.

Report

20h ago

AURORA Lifeline

Maker

📌

Hi Product Hunt 👋 Every cyclone season in India, warnings get better and evacuations save lives. But after landfall the roads flood, bridges and culverts close, and villages lose their only road to a hospital. A woman in labour, a snakebite, a dialysis patient: for days, help can't get through. Three days out, a district control room knows where the storm is going. What it doesn't know is which health centre will be cut off, how likely that is, when, and what to move there before the roads close. Today that's worked out by phone calls and experience. AURORA Lifeline starts from the official IMD bulletin and answers those four questions: • Gemini reads the bulletin PDF and quotes every value; code checks each one against the PDF. • Over a thousand storm futures from Google DeepMind WeatherNext and ECMWF, aligned to IMD's track, put wind, rain and surge on 5.4 lakh road segments, hour by hour. • For each future, a fast network search finds when every village and health facility loses its last road to a public hospital. You get a chance and a time window, never a falsely precise hour. • It ranks where to stage earthmovers, each with a deadline and its reason. • Gemini drafts the advisory in Telugu, Hindi or English, but it never writes a number: code inserts every figure. It's read aloud with Gemini TTS and exported as a CAP alert, and an officer approves before anything goes out. • An agent built with Google's Agent Development Kit answers officers' questions from the run's facts, with citations. Try the replay of Cyclone Montha (Andhra Pradesh, Oct 2025) exactly as it looked 62 hours before landfall, then Cyclone Dana in Odisha. Geography is configuration, so a new state is a config file and a map extract. How it evolved: we started with "which roads flood?" and ended with "which PHC loses its last road, and when?". That shift made us build our own road network instead of using routing APIs. It also made us strict about uncertainty: a chance and a window, labelled priors, and validation against Sentinel-1 radar with our misses published on the Proof page. It's open source (Apache-2.0) and was selected in the top 10 of Track 05 at Build with AI: Code for Communities. We'd love feedback, especially from anyone in disaster management or public health. What would make this useful in your district?

Report

1d ago

Google Cloud Run

Hi Aurora team! Your video said that an officer approves. Who is the targeted audience? Is it for local officers to help coordinate emergency notifications and dispatches? Or is it for those living in the area?

Congrats on the launch today!

Report

6h ago

Mailwarm

Love that AURORA Lifeline turns the cyclone bulletins into a clear cutoff forecast, so responders can see who gets isolated before the roads close.

Report

18h ago