Pulse112 - Emergency

PULSE is an AI-powered 112 emergency system enabling faster, smarter crisis response with real-time tracking, auto-triage, and instant dispatch. Kwik – Every Second Saves a Life.

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Inspiration

What it does

How we # 🚨 Pulse – AI-Powered Urban Intelligence for Emergency Response

Pulse is an AI-powered urban intelligence system designed to provide a "living pulse" of metropolitan areas across India, such as Bengaluru, while transforming how emergency services like India’s 112 function.

🌟 Inspiration

The inspiration for Pulse comes from a deep-rooted urban problem:

Too much scattered data. Too little actionable insight.

In Indian cities, millions of data points are generated every minute—traffic, civic issues, emergencies, events. But this data is:

  • Noisy
  • Siloed across platforms
  • Becomes outdated instantly

This overwhelms emergency systems like 112, leading to:

  • ⚠️ Slow response times (12–24 minutes)
  • ⚠️ Operator burnout and error-prone manual workflows
  • ⚠️ Fragmented systems across states
  • ⚠️ Poor emotional support for distressed callers

India's urban population is projected to reach 675 million by 2035. We saw the urgent need for AI-driven coordination and proactive intelligence to manage city crises swiftly and effectively.

📚 What We Learned

Through research, development, and testing, we learned:

  • 🔗 Integration > Isolation
    Siloed smart systems don't work. We need a unified platform that brings diverse civic data together.

  • 🔮 Proactivity > Reactivity
    Cities shouldn’t only react to crises. Predictive AI can anticipate problems before they escalate.

  • 👤 Humans + AI = Best Results
    AI should augment, not replace, decision-makers—offloading routine tasks while keeping humans in control.

  • 📸 Citizen Multimedia Reports = Rich Data
    Geo-tagged photos/videos offer deeper ground-level insight than basic call logs.

  • 🌍 Context is Everything
    Solutions in India need to be multilingual, low-bandwidth friendly, and offline capable.

🛠️ How We Built the Project

Pulse was built as a real-time, AI-powered emergency and urban event detection system. Here’s how:

🔄 1. Data Ingestion & Fusion

  • Collects data from social media, citizens, IoT sensors, and public APIs
  • Uses AI to synthesize reports from multiple sources into a clean, actionable summary

🎥 2. Multimodal Citizen Reporting

  • Pulse’s AI detects objects, severity, sentiment, and automatically categorizes and maps the event

📈 3. Predictive & Agentic AI Layer

  • Identifies early patterns (e.g., many blackout reports in one area)
  • Sends predictive alerts and auto-suggested actions

🧠 4. Natural Language Understanding

  • Uses LLMs (Gemini/PaLM 2) to extract:
    • Location
    • Type
    • Severity
    • Auto-generates structured incident reports

👥 5. Human-in-the-Loop

  • Authorities review and approve all AI-generated actions
  • Ensures accountability and human empathy

🌍 6. City Pulse Dashboard

  • A real-time, map-based visualization of incidents
  • Allows for faster and smarter decisions

🔑 Key Features

  • 🗣️ Multilingual Input & Voice Recognition
  • 😊 Mood Mapping using sentiment analysis
  • 📍 Geo-tagged photo/video classification
  • 📶 Low-bandwidth/offline SMS support
  • 🔗 IoT & Smart City Integration
  • 🔐 Privacy-first with Role-Based Access Control

💻 Technical Stack

Layer Stack/Tool
Frontend React + Tailwind
Backend Firebase (Firestore, Auth, Functions), FastAPI, Cloud Run
ML/NLP Vertex AI (Gemini, PaLM 2), TensorFlow Lite, Google Cloud NLP/Speech APIs
Mapping Leaflet (Geocoding, Roads, Directions)
DevOps GKE, Cloud Run, Cloud Build, Cloud Monitoring
Data Processing BigQuery, Cloud Dataflow, Pub/Sub

⚔️ Challenges Faced

  1. 🧩 Integration with Legacy Systems
    Aligning dozens of fragmented government and civic data platforms.

  2. 📉 Data Quality & Interoperability
    Designing robust schemas and governance frameworks.

  3. 🔐 Privacy & Security
    TLS encryption, RBAC, and strict compliance with Indian data protection laws.

  4. 👥 Adoption & Awareness
    Training government personnel and encouraging citizen participation.

  5. 💸 Long-term Funding
    Grants aren’t forever. Building sustainable GovTech + Public-Private models.

  6. 🔁 Continuous Model Learning
    Building feedback loops from human-in-the-loop decisions to improve model accuracy over time.

🔭 Vision

Pulse envisions a future where every Indian city has a digital nervous system, where AI and humans collaborate in real-time to save lives, optimize urban services, and build safer, more resilient communities.built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Pulse112 - Emergency

Built With

  • fastapi
  • firebase-hosting
  • flutter
  • gcp
  • gemini
  • google-cloud-speech-to-text
  • google-maps-platform
  • postgis
  • react
  • rest
  • tailwind-css
  • tensorflow
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