
I have undergone hands-on training in core Java concepts and the Java Spring Framework, gaining practical experience in building robust applications. Additionally, I have worked with MongoDB, developing a solid understanding of NoSQL databases and how to integrate them effectively with Java-based applications.
Sep 2022 - Feb 2023I have developed web application projects using the Django framework, showcasing strong backend development skills. On the front end, I have worked extensively with HTML, CSS, JavaScript, and React.js to build responsive and interactive user interfaces. I also have hands-on experience with jQuery and the Bootstrap framework. Additionally, I have used Git with GitFlow for version control and Postman for API testing, along with working on MySQL databases.
Jul 2023 - Dec 2023I have experience developing and implementing backend logic using Python and PHP to ensure robust application functionality. I also design and structure user interfaces with HTML, CSS, and JavaScript, using responsive design principles to improve user experience. I manage databases like MySQL and MongoDB for efficient data storage and retrieval. As a full-stack developer, I ensure seamless front-end and back-end integration. I also optimize performance with efficient queries and algorithms, while debugging and resolving issues to maintain high code quality.
Jun 2024 - PresentThe New Year Countdown Project is more than just a celebration; it's a testament to the human spirit and our shared aspirations for a brighter future. So, mark your calendars and get ready to be part of this global extravaganza as we count down to a new year filled with endless possibilities.
Weather forecasting is the attempt by meteorologists to predict the weather conditions at some future time and the weather conditions that may be expected. This project proposes a Deep Learning (DL) based model to predict the weather These helps synoptic meteorologists, administrators and common man for better interpretation and decision support during extreme weather events
It aims in minimizing the false alerts using machine learning techniques where a set of interval valued parameters are optimized. To develop an ATM card fraud detection system using genetic algorithm. During the ATM card transaction, the fraud is detected, and the number of false alert is being minimized by using genetic algorithm like Decision Tree ,SVM and K- Nearest Neighbour.