My Projects
saaz.bhargava@portfolio:~$
cat projects.md
Featured Projects
Diabetic Retinopathy Detection
Developed a deep learning pipeline using EfficientNet + attention layers to detect retinopathy from retinal images, achieving high accuracy and F1-score on benchmark datasets (Messidor-2).
Accuracy
94.2%
F1-Score
0.91
Dataset
Messidor-2
Fitness Assessment Tracker (FAT)
Developed a full-stack Fitness Assessment Tracker using the MERN stack (MongoDB, Express.js, React.js, Node.js). Enabled users to track workouts, monitor fitness progress, and receive AI-powered personal coaching.
Personal Financial Advisor
Developed a full-stack finance advisor web app (React, Node/Express, FastAPI, MongoDB) for budgeting, expense tracking, and investment planning. Implemented AI/ML models for spend anomaly detection and Azure OpenAI for natural-language financial advice.