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1. Explainable-Machine-Learning-for-Parkinson-s-Disease-Classification-Using-Voice-Biomarkers Explainable-Machine-Learning-for-Parkinson-s-Disease-Classification-Using-Voice-Biomarkers Public

   Explainable Machine Learning for Parkinson's Disease Classification using Voice Biomarkers | EDA, Statistical Analysis, SVM, Random Forest, XGBoost & Streamlit

   Jupyter Notebook

2. Statistical-Analysis-and-Predictive-Modeling-of-Heart-Disease-Risk Statistical-Analysis-and-Predictive-Modeling-of-Heart-Disease-Risk Public

   ❤️ Heart Disease Prediction System

   Jupyter Notebook

3. AI-Food-Safety-Risk-Analysis-from-Restaurant-Inspection-Data AI-Food-Safety-Risk-Analysis-from-Restaurant-Inspection-Data Public

   This project applies data analysis, statistical methods, and machine learning to restaurant inspection data to identify patterns associated with food-safety risks and inspection failures.

   Jupyter Notebook

4. Deep-Learning-Based-Plant-Disease-Classification-with-Explainable-AI Deep-Learning-Based-Plant-Disease-Classification-with-Explainable-AI Public

   An explainable deep learning system for plant disease detection from leaf images using CNNs, LIME, SHAP, and Streamlit.

   Python

5. Energy-Efficient-Quantum-Inspired-Recommender-System Energy-Efficient-Quantum-Inspired-Recommender-System Public

   An experimental research project investigating quantum-inspired optimization for energy-efficient recommender systems. The project studies whether a Quadratic Unconstrained Binary Optimization (QUB…

   Python

6. Graph-Based-Pharmacovigilance-for-Adverse-Drug-Event-Prediction Graph-Based-Pharmacovigilance-for-Adverse-Drug-Event-Prediction Public

   This project explores the application of Graph Neural Networks (GNNs) to pharmacovigilance and adverse drug event (ADE) prediction.

   Jupyter Notebook