- I have graduated in the year 2022 and I had done my 3 months internship at Cognizant on dot net technology.
My goals are to develop my technical expertise in Computer Science by continuous learning, using them to solve real-world problems, and to advance in my career by graduating from one of the top universities in the world and further exploring my area of interest. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Programming Languages: Java, C#, Python, JavaScript, C
Frameworks: Spring, React JS with Type Script
Databases: Microsoft SQL Server, Oracle
Other: Object-oriented design, Web Services, Unit Testing, Azure, Agile
Project Management: stash, Jira, Azure board
Version Control: Git
ATTENDANCE MANAGEMENT SYSTEM USING FACIAL RECOGNITION:
The main purpose of this project is to create a face recognition-based attending observance system for institution to reinforce and upgrade this attendance system into more efficient and effective as compared to before. The previous system encompasses a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Several issues arise once the authority is unable to enforce the regulation that exist within the old system.
ONLINE VOTING SYSTEM USING FACE RECOGNITION:
The main idea of this system is to create an Online Voting System that will eliminate the deception of manual voting systems and prior attempts to use cameras for facial recognition in online voting. Voters can only access the system after they are recognized and verified with the database of enlisted voters. For this system PYQT5, OpenCV is used for creating the browser and for face recognition.