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About Me

I'm a beginner and passionate programmer with some experience in Java , and familiar to frameworks like React, Node.js and Express.js,I also have some experience in DeepLearning . I'm a quick learner and like to work with the problem until it is get solved. And I have a great journey so far in the programming field. I have started programming since April 2023.

Languages and Technologies


java c react db html css js yolo flask bootstrap
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Experience

During April/2023 to Dec/2023 I had the opportunity to intern at CyberGuard360, a leading provider of cybersecurity solutions for businesses worldwide. This experience has significantly contributed to my professional growth and deepened my understanding of cybersecurity principles and practices.
My internship at CyberGuard360. provided invaluable insights into the dynamic field of cybersecurity. I gained hands-on experience in threat analysis, vulnerability management, and incident response, which have strengthened my skills and prepared me for future challenges in the industry.

Projects

face

Face-Recognition

Harnessing YOLOv5's detection power and Flask's web interface, these websites identify faces in images/videos. Used for security logins, attendance tracking, and content moderation, they require expertise in Python, web development, and machine learning. Always prioritize responsible data handling and address privacy concerns in facial recognition.

github

#Reactjs #Nodejs #flask #YoloV5 #pyTorch #DeepLearning #MERN #MongoDB

cricket

Live-Cricket-App

The Live Cricket Score and Schedule App provides real-time updates on cricket matches, including live scores and match schedules. With customizable notifications, users can stay informed about ongoing games and upcoming fixtures, ensuring they never miss a moment of cricket action.

github

#Reactjs #Axios #Jsx #Material-UI

drowsiness

Driver-Alert-App

The Driver Safety App is a mobile application designed to combat drowsiness and overspeeding among drivers. Using advanced technology, including machine learning algorithms, it detects signs of fatigue and monitors vehicle speed to alert drivers in real-time. By providing timely notifications and prompts, the app promotes safe driving practices, aiming to reduce accidents and enhance road safety.

github

#Kotlin #Python #OpenCv #DLib #Deep Learning #Keras #TensorFlow