{"slug":"skysense","name":"SkySense (Team Twisters)","hackathon":"nasa-space-apps-2025","tagline":"Ultra-local, personalized weather risk from NASA Earth observation data, with the safest time window for your activity.","placement":{"status":"track-winner","awards":["Best Use of Technology"],"track":"will-it-rain-on-my-parade"},"team":{"size":5,"members":[],"countries":["MX"]},"problem":"People planning outdoor events, sports or travel get generic, unreliable forecasts rather than a personal answer for their place and time.","solution":"A web app that combines NASA Earth observation data with AI analysis for ultra-local predictions of rain, wind, temperature, humidity and visibility, real-time risk assessments and suggested safest time windows, plus a conversational assistant (TwisterBot) that sends adaptive alerts and reminders.","demo_moment":null,"build_style":"software-only","tech":{"stack":["react","firebase","google-apis","gemini-api","nasa-power-api","nasa-earthdata","open-meteo","openstreetmap","figma"],"ai_patterns":["llm-api","ai-unspecified"]},"domains":["earth-observation"],"analysis":{"why_it_stood_out":[{"claim":"Won the award for the most innovative use of technology.","basis":"organizer-stated","source":1},{"claim":"Turns weather variables into a decision: a real-time risk assessment plus the safest time window for an activity.","basis":"organizer-stated","source":0},{"claim":"Grounded in named NASA sources (POWER API, Earthdata, Giovanni, GES DISC) alongside Open-Meteo, with a Gemini-powered assistant for alerts.","basis":"team-stated","source":2},{"claim":"Submission package is complete: live product URL, demo video, data list and a specific AI-use disclosure (code assistance, design-to-code, icon generation) that separates the team's own work from tool help.","basis":"team-stated","source":2},{"claim":"Answers the challenge's playful question literally, for one person and one plan, which makes the product understandable in a sentence.","basis":"curator-inference"}],"mechanisms":["expert-data-for-everyone","one-sentence-clarity","complete-submission-package"],"judging_lens":["challenge-relevance","technical-depth","design-ux"],"lessons":["Convert raw data into the one decision the user wants (when is it safe?).","For everyday-data challenges, personal and local beats global and generic.","Write the AI-use disclosure as carefully as the pitch: say what the tools did and what the team built.","LATAM precedent: a team from Mexico won a global technology award."],"confidence":"high"},"links":{"project_page":"https://www.spaceappschallenge.org/2025/find-a-team/twisters/?tab=project","demo":"https://skysense.surf/","video":"https://drive.google.com/file/d/1LDaKDOHBKm3PxC03xcEJGfdybsVEwOTf/view?usp=sharing"},"sources":[{"url":"https://www.nasa.gov/learning-resources/stem-engagement-at-nasa/nasa-announces-2025-international-space-apps-challenge-global-winners/","kind":"official-results","retrieved_at":"2026-09-14"},{"url":"https://www.spaceappschallenge.org/2025/awards/","kind":"official-event-page","retrieved_at":"2026-09-14","note":"Award definition."},{"url":"https://www.spaceappschallenge.org/2025/find-a-team/twisters/?tab=project","kind":"project-page","retrieved_at":"2026-09-14","note":"Team-written summary, project details, AI-use disclosure, NASA and other data used."}]}