Code Diary

Documenting the evolution of AI through code and research.

Personalizing Entertainment: The Math & Magic Behind Movie Suggestions

Smart way of recommendation


Designing NutriBot: A Domain-Aware AI Assistant for Diet & Wellness

Behind the Scenes: How We Combined LLMs, Vector Search, and RAG for Smarter Diet Plans


Leveraging Community Health Workers & Social Determinants of Health for Predicting Emergency Department Readmissions

Supervised and Unsupervised Machine Learning Approaches for ED Readmission Prediction Using Community Health Worker and SDoH-Enriched Data


Unlocking the Syndemics Approach: How Machine Learning Reveals Disease Interactions

Exploring Syndemic Disease Patterns Using Unsupervised Learning with KMeans and KModes Clustering


Reinforcement Learning Unveiled: A Journey Through Concepts, Algorithms, and Applications

Exploring Q-Learning, SARSA, and Policy Gradients with Practical Implementations and Visualizations


Claims to Clarity: Building a Real-Time Healthcare Data Pipeline

Designing a Scalable Healthcare Data Pipeline with Kafka, Azure Data Lake, and Stream Processing for EDI Claims


Beyond Chatbots: An AI-Powered Learning Assistant for the Future

Revolutionizing Digital Education with AI-Powered Assistants That Think, Retrieve, and Explain Like a Human Mentor