class AkaashResearchPortfolio:
    def __init__(self):
        self.current_research = {
            "fellowship": "IndiaAI 2025 - Personalized Education with GenAI",
            "focus_area": "LLMs for Educational Content Generation",
            "sponsors": ["META", "Government of India"],
            "status": "Active Research & Development"
        }
        
        self.key_projects = {
            "satellite_enhancement": {
                "achievement": "Highest SSIM (0.85) with CNN-based model",
                "techniques": ["CNN Super-Resolution", "Wavelet-SR", "Wiener-SR"],
                "deployment": "Real-time Streamlit interface"
            },
            "asteroid_classification": {
                "accuracy": "99.58% with XGBoost",
                "data_handling": "Advanced preprocessing & class balancing",
                "models_compared": ["Random Forest", "XGBoost", "CatBoost", "KNN"]
            },
            "market_analysis": {
                "algorithm": "Custom-built Apriori from scratch",
                "scope": "Multi-country consumer behavior analysis",
                "business_impact": "Sales strategy & inventory optimization"
            }
        }
    
    def get_achievements(self):
        return {
            "gate_rank": "AIR 1561 (CS), AIR 4292 (DSAI)",
            "academic_performance": "A grade in AI (10/10), A- in ML (9/10)",
            "certifications": ["HuggingFace Agents", "Neo4j LLM", "Data Science"],
            "leadership": "Placement Coordinator MTech CSE"
        }