📦 Tech & Infra:

• Pub/Sub (sensor ingestion)

• BigQuery (infra context)

• Vertex AI / Gemini (media verification)

• Firestore (output storage)

✅ Agent 2: Commuter Rerouter + Parking Guide (Public)

Purpose: Compute personalized and safe reroutes + parking suggestions for affected users.

🔷 Inputs:

• verified_incident_report from Agent 1

• parkingDB (live parking availability)

• AOI_API (Areas of Interest: schools, hospitals, malls)

• user_personal_DB (frequent routes, commute preferences)

⚙️ Processing:

• User IP → Real-time congestion prediction

• Personalized rerouting:

  • Minimize disruption

  • Prefer quiet, safer, better AQI routes

  • Avoid noise/hazard areas

• Parking recommender

• Fallback to shortest Google Maps route if personalization fails

🟢 Output:

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML { "user_id": "u567", "reroute": { "start": "Home", "end": "Office", "recommended_path": [ ... ] }, "parking_suggestion": { "location": "Indiranagar Parking Lot A", "availability": "High" }, "fallback": "https://maps.google.com/?q=..." }

📦 Tech & Infra:

• Firestore (incident + user data)

• Google Maps APIs (routes, distance matrix, traffic)

• Custom ML (optional) for congestion prediction

• Pub/Sub (can also subscribe to incident updates)

🔒 Agent 3: Severity & Dispatch Agent (Authorized)

Purpose: Prioritize civic emergencies and dispatch authority teams.

🔷 Inputs:

• verified_incident_report from Agent 1

• firestore_emergency_team_data (location, availability)

⚙️ Processing:

• Calculate severity score (impact radius × type × trust)

• Categorize incident:

  • Medical

  • Infrastructure

  • Law & Order

• Match with nearest available authority team

• Update live dashboard and send notification

🟢 Output:

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML { "incident_id": "abc123", "severity_score": 7.8, "team_id": "team12", "category": "Medical", "dispatched": true }

📦 Tech & Infra:

• Firestore

• Vertex AI / Rule Engine for severity calculation

• Push notifications (FCM) for dispatch alerts

• Firebase Auth (admin access only)

🔒 Agent 4: Pattern Analyzer & Policy Recommender (Authorized)

Purpose: Detect systemic issues, suggest city-level interventions.

🔷 Inputs:

• All incident + agent data

• BigQuery (historical incidents, traffic patterns, infra outages)

• Environmental data (AQI, noise, rainfall, etc.)

⚙️ Processing:

• Semantic pattern matching (e.g., repeated potholes on X road)

• Cause modeling (e.g., construction near drains → flooding)

• LLM-driven policy suggestions (fix root cause)

🟢 Output:

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML { "pattern": "Repeated waterlogging", "location": "Koramangala 5th Block", "cause": "Poor drainage + road slope", "recommendation": "Drainage rework + AI-led cleaning schedule" }

📦 Tech & Infra:

• BigQuery, Firestore

• Gemini / Vertex AI + Retrieval

• Admin dashboard with actionables

• Firebase Auth (restricted to city admin)

🔒 Agent 5: Crowd & Stampede Response Manager (Authorized)

Purpose: Respond to extreme events (stampede, protest, jams) using live data + drones.

🔷 Inputs:

• All agent outputs

• Real-time Pub/Sub sensor streams (crowd + vehicle)

• Bangalore Police/Drone API (simulated)

⚙️ Processing:

• Detect surge: crowd density + incident + traffic anomalies

• Generate crowd management plan (reroute, alert, drone deploy)

• Recommend drone-based traffic control

• Update dashboard and send auth alerts

🟢 Output:

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML { "location": "MG Road", "risk": "Stampede", "action": "Alert + reroute + drone monitor", "drone_dispatched": true }

📦 Tech & Infra:

• Pub/Sub, Firestore

• Vertex AI for surge modeling

• Drone API or simulator

• Firebase Auth, Admin dashboard

🌐 Common Infra & APIs

ServiceUsed ForPub/SubIngest sensor data / push reportsFirestoreStore structured dataBigQueryHistorical analyticsVertex AI / Gemini ProLLMs for reasoning + verificationGoogle Maps APIsRouting, Traffic, Parking, Geo-locationFirebase AuthAccess controlFirebase HostingDashboard frontendFCMAuthority notifications (Agent 3, 5)

🛠 Tech Stack

• Backend: Python (Flask / FastAPI), Firebase Functions

• Frontend: React.js (hosted on Firebase)

• Cloud Infra: GCP (Firestore, Pub/Sub, BigQuery, Vertex AI)

• LLM/AI: Gemini Pro, Custom ML Models

• Security: Firebase Auth (role-based)

• Other APIs: Drone API (mock/simulated), Google Maps, AQI/Noise APIs

🧪 Setup & Deployment

1. Clone the Repository

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML git clone https://github.com/your-org/civic-response-system.git cd civic-response-system

2. Deploy Backend Functions

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML cd backend firebase deploy --only functions

3. Frontend Setup & Deploy

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML cd frontend npm install npm run build firebase deploy --only hosting

4. Configure Pub/Sub & BigQuery

• Create necessary topics and subscriptions in GCP Console.

• Connect BigQuery tables for historical context.

5. Set Firebase Auth Rules

• Grant admin access only to authorized city authorities for:

  • Agent 3: Severity & Dispatch

  • Agent 4: Policy Recommender

  • Agent 5: Crowd Manager

🧑‍💻 Contributors

• Avadhoot Ghewade

• [Collaborator Name 1]

• [Collaborator Name 2]

📄 License

Licensed under the MIT License.

📸 Optional: Dashboard UI Screenshots

Add screenshots of incident visualizer, dispatch dashboard, reroute UX, and policy dashboard here if available.

Plain textANTLR4BashCC#CSSCoffeeScriptCMakeDartDjangoDockerEJSErlangGitGoGraphQLGroovyHTMLJavaJavaScriptJSONJSXKotlinLaTeXLessLuaMakefileMarkdownMATLABMarkupObjective-CPerlPHPPowerShell.propertiesProtocol BuffersPythonRRubySass (Sass)Sass (Scss)SchemeSQLShellSwiftSVGTSXTypeScriptWebAssemblyYAMLXML Let me know if you want this uploaded to a GitHub repo, generated as a `.md` file for download, or customized further with your exact folder structure or contributors!