Highly motivated Computer Science undergraduate with a strong passion for Full Stack Java Development and problem solving. Passionate about developing scalable web applications using Java, Spring Boot, React, SQL and modern web technologies.
Bachelor of Technology
CGPA : 8
Intermediate
CGPA : 9
SSC
CGPA : 10
Technologies: Java, JSP, Servlets, HTML 5, CSS 3, MySQL, Apache Tomcat
•Designed and developed a role-based Healthcare Management System for Patients, Doctors, and Receptionists.
•Implemented secure user authentication and role-based authorization for controlled access to application modules.
•Developed CRUD functionalities for patient registration, appointment booking, doctor management, prescriptions, and billing.
•Integrated MySQL database for efficient storage and retrieval of healthcare records using JDBC.
•Designed responsive user interfaces using HTML, CSS, and JSP to improve usability and user experience.
•Deployed the application on Apache Tomcat server and optimized database queries for better performance.
Technologies: Python, YOLOv 8, OpenCV, Streamlit, Num Py, Pandas
•Developed an AI-powered dental analysis system for automated detection and localization of teeth from panoramic X-ray images.
•Integrated YOLOv 8 object detection with image preprocessing techniques to improve tooth detection accuracy.
•Implemented image enhancement using OpenCV for noise reduction and contrast improvement before model inference.
•Built an interactive Streamlit application that enables users to upload X-ray images and visualize real-time detection results.
•Designed the system to identify missing teeth, cavities, spacing issues, and potential dental abnormalities.
•Focused on improving diagnosis efficiency through deep learning-based computer vision techniques.
Technologies: Python, Streamlit, Beautiful Soup, Pandas, Open PyXL
•Developed an automation tool to collect faculty publication data from online sources using Beautiful Soup.
•Implemented author-wise and date-range filtering to generate customized publication reports.
•Generated downloadable Excel reports using Pandas and Open PyXL, reducing manual report preparation by nearly 80%.
•Designed a responsive Streamlit dashboard with an intuitive interface for efficient report generation.
•Improved data accuracy by automating publication data extraction and processing workflows.
Salesforce Trailhead
Smart Bridge
NPTEL
AICTE
Scaler
NPTEL