Bigg Boss Season 6 Contestants Malayalam |top| -

// Personality tags (ML-driven) personalityTraits: string[]; // ["Aggressive", "Diplomatic", "Entertainer", "VictimCard"]

@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';

// Fan engagement instagramGrowthPercent: number; twitterMentions: number; fanPollRank: number; // 1 to last bigg boss season 6 contestants malayalam

return ( <div className="bg-gray-900 rounded-xl p-4 shadow-lg border-l-8 border-yellow-500"> <h2 className="text-2xl font-bold text-white">contestant.name</h2> <p className="text-gray-400">contestant.occupation • contestant.age</p>

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> ); It includes data structures

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;

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 // Gameplay metrics nominationsCount: number

// Weekly performance weeklyRatings: number[]; // 1-10, each week highlights: string[]; // key moments