As an aspiring software engineer with a strong background in computer science and engineering, I am driven by a passion for technology and innovation. My projects, like NewsSphere Insights and the Attendance Monitoring System, reflect my commitment to leveraging advanced technologies to solve real-world problems. With skills in machine learning, Python, and problem-solving, I aim to contribute to cutting-edge developments in the tech industry. My academic achievements and practical experiences underscore my dedication and readiness to tackle complex challenges. Moreover, my extracurricular success in athletics demonstrates my perseverance and competitive spirit, traits that I carry into my professional endeavors.
AWS AI-ML Virtual Internship
1.NEWSSPHERE INSIGHTS
Description: An advanced news collection tool can perform tasks like:
1. Recognize entities to quickly navigate through news articles
2. Exclusive business articles and stock news for business enthusiasts
3.quick summary for daily feed
4. Interactive quizzes for assessing news knowledge of user
5. Informative news stats using Power BI.,
Technology Stack :Natural Language Processing, Large Language Model (Open Al), Mango DB, Power BI, API Keys,Simple Mail Transfer Protocol
2.ATTENDENCE MONITORING SYSTEM USING FACE RECOGNITION
Description: The system aims to automate the attendance tracking process, eliminating the need for manual efforts and reducing the possibility of proxy attendance. Using advanced face detection and recognition technologies, the system can identify students as they enter the classroom This automated process ensures accurate attendance records and minimizes the chances of fraudulent activities such as proxy attendance. The implementation of continuous monitoring ensures real-time tracking of students, providing an efficient and reliable solution for attendance management., Face Detection and Recognition Algorithms: Computer Vision, Machine Learning, Database Management System