AI-Enabled Personalized Tutor

I contributed as an AI/ML Engineer, developing a RAG-based tutoring engine using FastAPI and LangChain for context-grounded LLM responses. I implemented adaptive learning using PPO reinforcement learning, IRT scoring, and VARK profiling. I also contributed to the React Native application and implemented SHAP/LIME explainability. The project used Docker, Kubernetes, PostgreSQL, and MongoDB for deployment and data management.

RAG Chat With PDFs

I developed a retrieval-augmented AI chatbot for querying PDF documents. I implemented document retrieval using LangChain and FAISS embeddings and integrated an LLM to generate context-grounded responses.

AI-Based Disease Prediction System

I developed the machine learning pipeline for disease prediction, including data preprocessing, model training, and evaluation. I trained and compared Random Forest, SVM, KNN, and Decision Tree classifiers to predict 41 diseases, then deployed the prediction model as a Streamlit application for real-time use.