🌀 Sudarshan

Monitor. Analyze. Act.

A campaign intelligence dashboard designed to provide real-time visibility into field operations, voter outreach, and political activity.

Sudarshan simulates a war-room decision system, enabling campaign teams to monitor performance, analyze trends, and act on strategic insights using structured data.

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🔗 LIVE URL:

Deployed on Vercel: https://sudarshandashboard.vercel.app

Note: The API might take about a minute to spin up, please note that initial loading may take up to a minute due to Render’s free tier spin-up delay. (API is deployed on render)

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⚡ Quick Start

Clone the repository:

git clone https://github.com/RishaanVats/Sudarshan.git
cd sudarshan

Install dependencies:

npm install

Start development server:

ng serve

Open:

http://localhost:4200

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🏗️ System Overview

Sudarshan is designed as a frontend analytics system powered by a mock API.

Angular Frontend (Dashboard UI)
              │
              │ HTTP (REST)
              ▼
       Mock API (json-server)
              │
              ▼
           db.json
              │
              ▼
      generateData.js

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🎯 Project Objective

Modern political campaigns rely on centralized dashboards to track:

• volunteer deployment
• booth-level performance
• voter outreach
• sentiment trends
• opposition activity

Sudarshan provides a simulated environment for building and testing such systems using realistic campaign datasets.

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🚀 Key Features

✔ Real-time campaign monitoring interface ✔ Modular dashboard architecture ✔ Data-driven UI with charts and tables ✔ Multi-domain campaign intelligence (volunteers, booths, sentiment, etc.) ✔ Built with modern Angular (v21, standalone components) ✔ Designed for scalability and extensibility

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📊 Core Modules

🧭 Campaign Overview

• KPI cards (volunteers, outreach, sentiment)
• Trend charts
• Alerts panel

👥 Volunteer Operations

• Volunteer management
• Attendance tracking
• Field activity monitoring

🗳️ Booth Performance

• Booth-wise analytics
• Progress tracking
• Weak booth detection

🧠 Political Intelligence

• Influencer tracking
• Opposition activity monitoring
• Manager reports

📈 Analytics & Insights

• Sentiment distribution
• Outreach trends
• Campaign performance metrics

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📁 Project Structure

src/app
 ├── core
 │     ├── services
 │     └── models
 │
 ├── layout
 │     ├── sidebar
 │     ├── header
 │     └── layout.component
 │
 ├── shared
 │     ├── components
 │     │     ├── card
 │     │     ├── table
 │     │     ├── chart
 │     │     └── filter
 │
 ├── features
 │     ├── dashboard
 │     ├── volunteers
 │     ├── booths
 │     └── intelligence

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🧠 Data Flow

Mock API → Angular Services → RxJS → Components → UI

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🔌 API Integration

The frontend connects to a mock API (json-server):

Example:

this.http.get('http://localhost:3000/volunteers');

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🖥️ Development

Run development server:

ng serve

Generate components:

ng generate component component-name

Build project:

ng build

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🧪 Testing

Run unit tests:

ng test

End-to-end testing can be configured as needed.

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🎨 Design Philosophy

Sudarshan follows a decision-driven UI approach:

• Monitor → real-time KPIs and alerts
• Analyze → charts and trends
• Act → highlight critical insights

The UI emphasizes:

• clarity
• speed
• actionable intelligence

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👨‍💻 Author

Rishu Mishra

Electronics Engineer — VIT Vellore Former Web Developer (~3 years experience) UPSC aspirant

This project combines technical expertise with insights from grassroots political campaign operations.

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⚠ Disclaimer

This project is intended for educational and portfolio purposes only.

All data used is synthetic and does not represent real individuals or voters.

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📜 License

MIT License

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🔮 Future Enhancements

• real-time data integration
• geospatial booth analytics
• predictive modeling
• AI-driven insights
• social media sentiment tracking

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Final Note

Sudarshan demonstrates how structured data and modern frontend architecture can power campaign intelligence systems and decision-support dashboards.