Bigg Boss Season 6 Contestants Malayalam [repack] [FAST]
<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>
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) bigg boss season 6 contestants malayalam
def get_winner_recommendation(self): active = [c for c in self.contestants if c['status'] == 'Active'] scored = [] for c in active: gameplay_score = (c['tasksWonAsCaptain'] * 2) - (c['taskFailures'] * 1.5) audience_score = c['fanPollRank'] # lower rank = better controversy_penalty = 2 if 'Aggressive' in c['personalityTraits'] else 0 total = gameplay_score - controversy_penalty - audience_score scored.append((c['name'], total)) scored.sort(key=lambda x: x[1], reverse=True) return scored[:3] from fastapi import FastAPI app = FastAPI() @app.get("/bbms6/contestants") def get_all_contestants(): return contestants_list <div className="mt-3 flex gap-2 flex-wrap"> contestant
@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.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> );
