🎓 2nd Year B.Tech CSE (AI & ML)
🧠 Building real-world ML systems
🌐 Kolkata, India
🧭 Currently exploring: RAG-based systems for environmental risk intelligence and multi-domain ML applications in cybersecurity
An end-to-end Machine Learning system deployed via Streamlit for predicting flood and heatwave risks in Indian cities using real-time environmental and weather data.
- Data cleaning, preprocessing & feature engineering using Pandas and NumPy
- Supervised ML models including RandomForest and XGBoost
- Hydrological indicator and heat stress parameter computation
- Multi-level risk classification (Low / Moderate / High / Extreme)
- Real-time weather API integration
- Confidence-based prediction system
- Interactive Streamlit dashboard with geospatial visualization
🔗 Repository: Disaster Risk Prediction
