This is a complete, production-ready for a web or mobile app focused on Bigg Boss Malayalam Season 6 . It includes data structures, logic, analysis, and frontend-ready components. 🎯 Deep Feature: Bigg Boss Malayalam S6 – Contestant Intelligence Engine 1. Core Data Model (Contestant Object) interface BBMS6Contestant "Finalist"; // Gameplay metrics nominationsCount: number; timesInDangerZone: number; // nominated for eviction tasksWonAsCaptain: number; taskFailures: number;

// Fan engagement instagramGrowthPercent: number; twitterMentions: number; fanPollRank: number; // 1 to last

@app.get("/bbms6/compare/id1/id2") def compare(id1: str, id2: str): return analyzer.compare_contestants(id1, id2)

@app.get("/bbms6/winner-picks") def winner_picks(): return analyzer.get_winner_recommendation() // ContestantCard.jsx import React from 'react'; export default function ContestantCard( contestant ) const riskColor = contestant.eviction_risk > 0.7 ? 'red' : contestant.eviction_risk > 0.4 ? 'orange' : 'green';

contestant.eviction_risk && ( <div className="mt-3 p-2 rounded bg-gray-800"> <span className="text-sm">⚠️ Eviction risk: </span> <span style=color: riskColor>(contestant.eviction_risk * 100).toFixed(0)%</span> </div> ) </div> );

def compare_contestants(self, id1, id2): c1 = next(c for c in self.contestants if c['id'] == id1) c2 = next(c for c in self.contestants if c['id'] == id2) comparison = "name": [c1['name'], c2['name']], "nominations_count": [c1['nominationsCount'], c2['nominationsCount']], "task_success_rate": [ c1['tasksWonAsCaptain'] / max(1, c1['tasksWonAsCaptain'] + c1['taskFailures']), c2['tasksWonAsCaptain'] / max(1, c2['tasksWonAsCaptain'] + c2['taskFailures']) ], "personality_overlap": len(set(c1['personalityTraits']) & set(c2['personalityTraits'])) / len(set(c1['personalityTraits'] + c2['personalityTraits'])) return comparison

// Social graph inside house alliances: string[]; // contestant IDs rivalries: string[]; // contestant IDs