Projects
Hybrid Quantum-Enhanced Deep Learning for Diabetic Retinopathy Detection ↗
Designed and implemented a Hybrid Quantum-Enhanced Deep Learning framework for Diabetic Retinopathy Detection using retinal fundus images. The system combines Convolutional Neural Networks (CNNs), TensorFlow/Keras, and Quantum Machine Learning concepts to improve classification accuracy and feature extraction efficiency. Performed image preprocessing, dataset balancing, model training, evaluation, and visualization for early-stage disease prediction assistance.
Technologies: Python, TensorFlow, Keras, Qiskit
Source Code
EV Charge & Range Analytics Dashboard ↗
Developed an interactive Electric Vehicle Analytics Dashboard using Tableau Public for visualizing EV charging performance, battery efficiency, driving range analysis, and energy consumption trends. Implemented dynamic charts, filters, KPI monitoring panels, and comparative analytics to provide meaningful insights for electric vehicle performance evaluation.
Technologies: Python, TensorFlow, Keras, Qiskit
Family Income & Expense Tracker ↗
Built a ServiceNow-based Family Income & Expense Tracker application for monitoring personal financial activities, expense categorization, income management, and automated workflow processing. Integrated custom forms, reporting modules, dashboard visualization, and approval workflows to simplify financial tracking and budget management operations.
Technologies: Python, TensorFlow, Keras, Qiskit
Asset Management Portal ↗
Developed a centralized Asset Management Portal using the ServiceNow platform for managing organizational assets, inventory records, and IT service lifecycle operations. Implemented workflow automation, asset allocation tracking, request handling, reporting dashboards, and inventory monitoring features to improve operational efficiency and asset utilization management.
Technologies: Python, TensorFlow, Keras, Qiskit