Bigg Boss Season 6 Contestants Malayalam !!hot!! Online

@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';

<div className="mt-3 flex gap-2 flex-wrap"> contestant.personalityTraits.map(trait => ( <span key=trait className="bg-gray-800 text-xs px-2 py-1 rounded-full">trait</span> )) </div> bigg boss season 6 contestants malayalam

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; It includes data structures

def predict_eviction_risk(self, week_number): # Simplified logistic regression mock nominated = [c for c in self.contestants if week_number in c['nominationWeeks']] for c in nominated: risk = ( 0.3 * c['nominationsCount'] + 0.4 * (1 - c['fanPollRank'] / len(self.contestants)) + 0.3 * (c['taskFailures'] / max(1, c['tasksWonAsCaptain'] + c['taskFailures'])) ) c['eviction_risk'] = min(0.99, risk) return sorted(nominated, key=lambda x: x['eviction_risk'], reverse=True) // Gameplay metrics nominationsCount: number

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

@app.get("/bbms6/eviction-risk/week") def eviction_risk(week: int): return analyzer.predict_eviction_risk(week)