class PokeSummarizer:
    type = "Psychic"
    ability = "Mind Reader"
    
    def ultimate_move(self):
        return "📄➡️📝 Content Compression Beam!"
    
    def stats(self):
        return {
            "Languages": "Multi-lingual",
            "Speed": "Real-time",
            "Accuracy": "Legendary"
        }

class BatteryPredictor:
    type = "Electric"
    ability = "Voltage Forecast"
    
    def thunder_strike(self):
        return "⚡ 12+ ML Algorithm Thunder!"
    
    def prediction_power(self):
        return "🔋 Lifespan Vision Activated!"

class EmpathyMew:
    type = "Psychic/Fairy"
    ability = "Emotion Sync"
    
    def healing_pulse(self):
        return "💖 DistilBERT Heart Reading + Gemini Response!"
    
    def special_trait(self):
        return "🌈 Pure Emotional Intelligence"

class AgragatiPlatform:
    type = "Psychic/Flying"  
    ability = "Career Vision"
    
    def aeroblast(self):
        return "🌪️ Groq Llama-3.3-70b + Multi-API Job Tornado!"
    
    def special_moves(self):
        return {
            "Resume Analysis": "📄 AI-powered feedback with ATS optimization",
            "Job Matching": "🎯 60% improved discovery via skill extraction",
            "Multi-Source Search": "🔍 LinkedIn, Indeed, ZipRecruiter integration",
            "Smart Deploy": "🐳 Docker + CI/CD pipeline ready"
        }
    
    def tech_stack(self):
        return "Python | Streamlit | Groq AI | PyPDF2 | Pandas | Docker | REST APIs"

class QuantumSteganographyResearch:
    type = "Psychic/Steel"  # Like Arceus - Creation of secure systems
    ability = "Multitype Security"
    conference = "International Conference on Sustainable Analytics and AI (SaaAI'25)"
    
    def research_framework(self):
        return {
            "🔐 QKD": "Quantum Key Distribution with eavesdropping detection",
            "🛡️ AES-256": "Military-grade message confidentiality",
            "⚡ Error Correction": "Data integrity in noisy quantum channels",
            "🖼️ LSB Steganography": "Invisible data embedding in images"
        }
    
    def legendary_results(self):
        return {
            "Security Strength": "88.06% 🏆 (outperforms classical methods)",
            "Bit Error Rate": "4.26% ⬇️ (vs 7.35% conventional)",
            "SSIM Score": "0.9961 📊 (near-lossless quality)",
            "Validation": "IBM Quantum (Qiskit) simulations ✅"
        }

class BatteryLifeEstimationResearch:
    type = "Steel/Dragon"  # Like Dialga - Master of Time (battery longevity)
    ability = "Pressure Analysis"
    conference = "International Conference on Smart Materials, Advanced Manufacturing & Industrial Applications"
    
    def ml_models_compared(self):
        return {
            "⚡ Single Models": ["Linear Regression", "Decision Tree", "XGBoost"],
            "🌲 Ensemble Models": ["Random Forest", "Gradient Boosting", "Extra Trees"],
            "📚 Stacked Models": ["Pairwise stacking for enhanced accuracy"]
        }
    
    def champion_results(self):
        return {
            "🥇 Best Single Model": "XGBoost → R² = 0.983",
            "🥈 Best Stacked": "Decision Tree + XGBoost → R² = 0.982, MAE = 1.55h",
            "📉 Linear Baseline": "R² ≈ 0.58 (significantly outperformed)",
            "🔋 Innovation": "Battery Degradation Factor (BDF) introduced"
        }
    
    def key_insight(self):
        return "Tree-based ensembles capture non-linear battery degradation patterns effectively!"

class LeagueChampion:
    type = "Fire/Flying"  # Like Ho-Oh - Symbol of Victory
    ability = "Rainbow Wings"
    
    def championship_titles(self):
        return {
            "🏅 CUESTIC Champion": {
                "award": "First Place in Extra-Curricular Activities",
                "recognition": "Certificate of Appreciation + Memento",
                "achievement": "Leading diverse co-curricular initiatives"
            },
            "🤖 Gen'AI Hackathon": {
                "event": "Gen'AI Work-a-thon Hackathon",
                "project": "Agragati - AI Resume & Job Search Platform",
                "venue": "Christ University, November 2025"
            }
        }