AI-powered regulatory assistant that uses Retrieval-Augmented Generation to answer GDPR compliance questions with relevant regulatory context and article-level references.

Type: Deployment Project · Status: Completed · Year: 2026

Concepts: Generative AI, LLM Applications, RAG, AI Agents, Regulatory Intelligence

Tech Stack: Python, LangChain, Google Gemini, Hugging Face Embeddings, ChromaDB, Streamlit, AWS EC2

Developed an ensemble-based ML intrusion detection system for EV charging infrastructure using the CICEVSE2024 dataset, Evaluated multiple ML and deep learning models, with Gradient Boosting delivering 99.02% accuracy and 99%+ precision, recall, and F1-score.

Type: Research Project · Status: Completed · Year: 2026

Research Area: AI for Cybersecurity, EVSE Security, Intrusion Detection, Anomaly Detection, Machine Learning

Tech Stack: Python, Scikit-learn, Keras, Google Colab, Kaggle, Gradient Boosting, Random Forest, XGBoost, CatBoost, ANN, TabNet, SMOTE-ENN