Undergraduate Life Projects

Architected an end-to-end medical AI diagnostic pipeline integrating fine-tuned deep learning backbones with ensemble learning to detect Polycystic Ovary Syndrome from ovarian ultrasound scans.

• Extracted spatial representations using pre-trained VGG16 & ResNet50
• Trained base ensemble models (Logistic Regression, SVM, Random Forest)
• Refined predictions using an XGBoost meta-learner with weighted aggregation

A full-stack, cross-platform mobile solution empowering diabetic patients to monitor physiological metrics, connect with peers globally, and engage in remote physician consultations.

• Logs glucose levels, blood pressure, and medication with smart alerts
• Community network supporting real-time chat, forum posts, and comments
• Integrated telehealth module for direct doctor-patient communication

An algorithm engineering research project focused on partitioning complex network graphs into balanced subgraphs while minimizing cut edges using advanced optimization heuristics.

• Implemented GKLR (Goldberg-Kernighan-Lin-Ritchie) heuristic optimization
• Engineered custom Genetic Algorithms for balanced cut minimization
• Comparative review of exact, approximation, and heuristic models

A full-stack web application bridging food vendors and customers through real-time order state updates, dynamic menu management, and direct messaging channels.

• Live order tracking status update pipeline for customers and kitchens
• Encrypted customer–vendor messaging for seamless fulfillment
• Relational database design in PostgreSQL optimized for concurrent orders