End-to-end YouTube Channel Analytics Pipeline - YouTube API v3, NLP, TF-IDF Clustering, SQLite | MSc AI @ DBS

Blackjack RL Agent - Q-Learning vs Monte Carlo built from scratch | MSc AI @ DBS

A predictive analytics project developed during my MSc AI at BSBI. This project implements a binary classification pipeline to predict customer purchase behavior based on demographic and interaction data. It covers the full ML lifecycle: from Exploratory Data Analysis (EDA) and feature engineering to model selection and performance benchmarking.

ML course exercises for MSc AI — covering regression, classification, time series, NLP, deep learning, and clustering using scikit-learn, Pandas and TensorFlow in Python and Jupyter Notebooks.

A Multimodal AI assistant for automated plant pathology diagnosis, featuring an interactive UI built with Gradio. Developed during my MSc AI at BSBI, the system utilizes a fine-tuned EfficientNet-B0 architecture for high-accuracy image classification, integrated with natural language processing to provide real-time disease identification.

A quantitative research & analytics project developed during my MSc AI at BSBI. It focuses on evaluating NLU performance and user interaction patterns through data-driven insights. The project utilizes Python and advanced data visualization to identify intent classification gaps and provide systematic optimization strategies for conversational AI.

Clinical heart disease prediction system (MSc AI, BSBI). Uses supervised ML on patient vitals with a full diagnostic pipeline: normalization, feature analysis, and high-precision classification models for early-stage medical decision support.

List of ideas that can be applied to a Masters in AI research paper