Rakshak was born from a simple yet painful realisation: in emergencies, help is often delayed not because responders are slow, but because they lack clear, real-time information when it matters most. Observing cases where victims struggle to explain their location, identity, or situation during a panic attack inspired the idea to build something smarter than a basic SOS button. Rakshak is an AI-powered emergency response platform that transforms distress into structured, actionable data. With a single tap, the system securely transmits verified user identity, continuous GPS coordinates, and time-stamped audio evidence to a dedicated police command dashboard using Firebase real-time synchronisation. Behind the scenes, AI-based risk detection analyses motion patterns, audio cues, and behavioural signals to trigger alerts even when a victim cannot interact with their phone. The platform integrates GIS mapping for live tracking, encrypted cloud storage for evidence preservation, and authenticated access for law enforcement, ensuring every alert is trusted and traceable. Gemini 3 is used to refine system workflows, simulate real-world emergency scenarios, optimise prompts, and improve decision logic, making Rakshak adaptive and scalable for real deployments. Built with React, Web Audio APIs, and cloud infrastructure, Rakshak doesnโ€™t just notify authoritiesโ€”it gives them context, proof, and direction. The vision goes beyond an app: future expansion includes wearable panic devices, live video streaming, ambulance integration, and smart city deployment. Rakshak stands as a digital guardian, designed with empathy, powered by technology, and driven by the belief that no call for help should ever go unheard or unanswered.

Built With

  • and
  • antigravity-ai
  • authentication
  • cloud
  • cloud-based
  • firebase-realtime-database-&-hosting
  • gemini-3-ai
  • google-maps
  • mediarecorder
  • react.js-frontend
  • restful
  • web-audio-api
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