CodeBase

Personal Projects and Learnings

Welcome to CodeBase — a curated collection of my journey through Generative AI, NLP, and Machine Learning, built during my MCA in AI/ML and beyond.

📌 About

This repository documents my hands-on projects, experiments, and learnings across:

• Generative AI (GenAI): Prompt engineering, text generation, and applied LLM workflows.
• Natural Language Processing (NLP): Feature engineering, text classification, embeddings, and interpretability.
• Machine Learning (ML): Classical models, diagnostics, and reproducible pipelines.
• Applied AI/ML Coursework: Projects and case studies from my MCA program, integrating theory with practice.

🎯 Purpose

• To showcase my project timeline and growth in AI/ML.
• To serve as a knowledge base for reproducible scripts, modular workflows, and automation logic.
• To reflect my focus on clarity, maintainability, and edge-case handling in real-world scenarios.

📂 Structure

• GenAI/ → Generative AI experiments and demos
• NLP/ → Text preprocessing, embeddings, and classification projects
• ML/ → Classical ML workflows, diagnostics, and feature engineering
• Coursework/ → MCA AI/ML academic projects and applied case studies

Currently Working On Mlops