Sansad

Indian Election Strategy Game — Fictional Political Simulation

A browser-based turn-based political simulation built around a fictional Indian General Election. Choose a party, manage alliances, assign candidates, and fight your way to 272 seats. Every action has a cost, alliances are fragile, and an AI advisor comments on your strategy turn by turn.

What Is This?

Gameplay Overview

1. 1
   Party Selection — Choose from fictional political parties with their distinct seat counts, alliance blocs, ideologies, and regional strongholds. Three difficulty levels: Simple, Realistic, Complex.
2. 2
   Pre-Campaign Setup — Solo mode: pick exactly which of the 543 Lok Sabha seats to contest. Alliance mode: form coalitions with other parties; seat-sharing negotiations run round by round.
3. 3
   Candidate System — Over 5,000 fictional candidates across all 543 constituencies, each with 30+ attributes including popularity, loyalty, betrayal risk, ground network, and incumbency. Denied candidates defect — switching parties, going independent, or demanding alternate seats.
4. 4
   Campaign Launch — A Flash News modal fires at campaign start with categorised breaking headlines: party switches, rebels, ticket denials, new alliances.
5. 5
   7-Turn Campaign — Full interactive India map with all 543 constituency polygons. 12 action types: rallies, sabotage, caste outreach, bribery, candidate poaching, and more. An AI advisor lives in the right panel, commenting on your position each turn.
6. 6
   Alliance Management — The Alliance HQ panel shows coalition composition, majority progress, and affinity indicators. If tension gets too high, the coalition collapses and rebels form new fronts.
7. 7
   End Game — Win condition: 272 seats out of 543. The result screen shows a full declared-seats ticker, alliance bloc breakdown, and final seat map.

Screenshots

Design Challenges

Building a politically accurate simulation at this scale surfaces some genuinely hard design problems:

• Balancing the vote-share math so that all 12 campaign action types feel meaningfully different and not dominated by a single strategy.

• Modelling voter behavior, demographics, and regional strongholds without the simulation becoming opaque.

• Alliance dynamics: how fragile should coalitions be? At what point does the AI advisor start recommending breaking alliances rather than holding them?

• Scalability of the candidate system — tracking 5,000+ candidate states across 7 turns without performance degradation.

• Making the game mechanically interesting to players who know nothing about Indian politics while staying authentic enough for those who do.