My Projects

saaz.bhargava@portfolio:~$ cat projects.md

Featured Projects

Diabetic Retinopathy Detection

ML Deep Learning Computer Vision

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
Code

Fitness Assessment Tracker (FAT)

Full-Stack MERN

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.

Code

Personal Financial Advisor

Full-Stack AI/ML

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.

Code (Coming Soon)