Employee Management System
Tech Stack: Java, SpringBoot,MySQL,REST APIs,Spring Security,HTML,CSS
Developed an Employee Management System featuring CRUD operations for employee records, role-based access control using Spring Security, and REST APIs for efficient client-server communication.
BookSwagon Application
Tech Stack: Java, Selenium, BDD, Cucumber
In the Bookswagon Capstone Project, I implemented the book purchase functionality using Java and Selenium for testing. The process involved logging in, searching for a book, applying filters, validating the results, entering the shipping address, and proceeding to checkout through the wishlist and cart. The test automation ensures smooth execution of the buy functionality by verifying end-to-end user interactions.
BOOK STORE WEB APPLICATION
Tech Stack: Java, HTML, MySQL
• The bookstore web application uses Java with Spring Boot for
server-side logic and Spring MVC for web management. Hibernate
handles database interactions with MySQL, while Thymeleaf renders
dynamic HTML pages integrated with Bootstrap for styling.
• The project is managed with Maven or Gradle, and tested
with JUnit, with version control handled by Git.
Face Recoginition for Criminal Detection
Tech Stack: Python, Tkinter, OpenCV and Machine Learning
• Developed a software using Tkinter, OpenCV and Machine
Learning Models to build a face recognition software to
detect criminals in images and videos, noting theirtime of
occurrences.
• Using DBSCAN Clustering and LBPHFaceRecognizer fortraining
the Model.
Online Transaction Fraud Detection
Tech Stack: Python, TensorFlow, OpenCV and Machine Learning
• Developed a software for Fraud detection in payments refers
to the process of identifying fraudulent transactions
in real time to prevent financial loss.
• The Model is trained on real-time monitoring of
transactions and various metrics.
Image Caption Generator
Tech Stack: Python, HTML/CSS, CNN and Deep Learning
• Image captioning is the task of generating textual descriptions of a given image,
With an image as the input, the method can output an English sentence
describing the content in the image
•We analyse three components of the method convolutional
neural network(CNN), recurrent neural network(RNN) and sentence generation