I passionate and dedicated BTech graduate with a strong interest in web development and software engineering. I enjoy building clean, user-friendly websites using HTML, CSS, and JavaScript. One of my recent projects is an AI-based face recognition system for attendance management. I'm eager to learn more technologies and grow my skills to become a successful software engineer.
I passionate and dedicated BTech graduate with a strong interest in web development and software engineering. I enjoy building clean, user-friendly websites using HTML, CSS, and JavaScript. One of my recent projects is an AI-based face recognition system for attendance management. I'm eager to learn more technologies and grow my skills to become a successful software engineer.
I'm currently learning backend technologies like Node.js and Express.js. I'm passionate about building complete web application and love exploring new tools. My long-term goal is to become a full-stack developer.
| SNo | Qualification | School/College | Board/University | Year | CGPA |
|---|---|---|---|---|---|
| 1 | 10th | Sri Chaitanya Techno School | State Board | 2018 | 9.5 |
| 2 | Intermediate | Sri Chaitanya Junior College | State Board | 2020 | 8.7 |
| 3 | B.TECH | NRI Institute of technology | JNTUK | 2024 | 7.2 |
Objective: The aim of the project is to automate attendance using AI and face recognition technology, ensuring accuracy and reducing manual work.
My Role: I worked on integrating the face recognition system using Python and OpenCV, and ensured real-time detection and logging into the system.
Description: This system captures the live video, detects and identifies faces, and marks attendance by storing the data in a database. It eliminates proxies and improves attendance reliability.
Advantages: