🚀 AI & Data Science Student
🌍 Building real-world machine learning systems with impact
I’m a grade 12 student from India building applied AI projects with real-world impact.
My work focuses on climate risk prediction, agriculture advisory, and sports analytics.
I conducted a comparative research study evaluating the effectiveness of machine learning in decision-making under uncertainty across two domains:
- 🏏 Sports Analytics (DLS Alternative)
- 🌊 Flood Risk Prediction (Agriculture Advisory)
📥 Read Full Paper:
https://github.com/dev-sharma071609/ml-vs-rule-based-decision-making/blob/main/research%20paper/Sharma_ML_vs_Rule_Based_Systems_Comparative_Study.pdf
🔗 Research Repository:
https://github.com/dev-sharma071609/ml-vs-rule-based-decision-making
📄 Research Paper (DOI): https://zenodo.org/records/19394563
👉 https://floodsense-ai-agro-g24ucjzzqzz8xcxikmclqm.streamlit.app/
📘 User Guide:
👉 https://scribehow.com/viewer/Use_FloodSense_AI_for_Flood_Risk_and_Crop_Advice__I8AJDuHqTq2mlmO96wf0_Q
👉 https://ai-cricket-rain-predictor-mpq9jzapphhayyrpp6ffsuu.streamlit.app/
📘 User Guide:
👉 https://scribehow.com/viewer/Use_AI_Cricket_Rain_Predictor_for_Score_Forecasting__MC1QGVQpQ2qiFHw_XztFOQ
- 🌊 Climate AI systems
- 🌾 Agriculture decision tools
- 🏏 Sports analytics models
- 📊 End-to-end ML applications
- Flood prediction (Low → Severe)
- Explainable AI
- Crop advisory system
- Fully deployed application
- Rain-aware match prediction
- Inspired by DLS method
- Scenario-based modeling
- ML model for rocket landing success
- IBM Data Science project
- Python
- Machine Learning
- Data Analysis
- Streamlit
- Model Deployment
To build AI systems that solve real-world problems in:
- Climate 🌍
- Agriculture 🌾
- Analytics 📊
⭐ Always building, learning, and improving