Aaryan Samanta – Advanced AI Capstone Projects + AI & Data Science Portfolio

Welcome to my portfolio showcasing Capstone work from the following courses. The work housed here represents original research and applied projects and is intentionally maintained separately from public coursework to protect academic integrity, sensitive data usage, and future publication opportunities. This repository also demonstrates my learning in Python programming, data analysis, visualization, supervised learning, NLP, and neural networks.

• 🧠 AI & Technology Honors
• 📊 Data Science Honors
• 🤖 AI Internship Honors

🧠 Capstone Projects Overview

This repository includes two major capstone projects, each aligned with a different advanced program and designed to reflect real-world problem solving using AI and data science.

🤖 AI Internship Capstone

Medical Imaging & Deep Learning

🎯 Objective

Develop a Convolutional Neural Network (CNN) to detect signs of pneumonia in chest X-ray images using a labeled medical imaging dataset.

This project focuses on applying deep learning techniques to a real-world healthcare problem by:

• Preprocessing and analyzing medical image data
• Designing and training CNN architectures
• Evaluating model performance using appropriate metrics
• Conducting experiments and iterative improvements
• Producing a detailed technical report documenting methodology, results, and insights

⚠️ Due to the use of medical imaging data and the research-oriented nature of the work, this project is kept seperate

📊 Data Science Capstone

Disease Symptom & Patient Profile Analysis

🎯 Objective

Investigate a real-world healthcare question by exploring disease symptoms and patient profiles through structured data analysis.

This capstone emphasizes the full data science lifecycle, including:

• Data collection and cleaning
• Exploratory data analysis (EDA)
• Feature exploration and visualization
• Identifying patterns, correlations, and trends
• Deriving actionable insights from real-world health-related data

🔒 Privacy & Usage Notice

This repository contains original capstone and research work that is:

• Unpublished
• Not intended for public distribution
• Protected to prevent unauthorized reuse or copying

🧩 Repository Organization

Each course folder contains:

• 📂 Subfolders for each assignment
• 📝 README with explanations, datasets used, and main takeaways
• 💻 Source code with proper headers