About Me
Computer Engineering Graduate | Python Developer | Machine Learning & Computer Vision Enthusiast
I am a motivated and dedicated Computer Engineering graduate with a strong foundation in software development, Python progr…
Computer Engineering Graduate | Python Developer | Machine Learning & Computer Vision Enthusiast
I am a motivated and dedicated Computer Engineering graduate with a strong foundation in software development, Python programming, Machine Learning, Deep Learning, and Computer Vision technologies. Throughout my academic journey, I have developed practical experience in designing and implementing intelligent systems that solve real-world problems using Artificial Intelligence and data-driven approaches.
My technical expertise includes Python, Machine Learning, Deep Learning, Computer Vision, TensorFlow, OpenCV, Scikit-learn, NumPy, Pandas, and Tkinter. I have worked extensively on developing AI-powered applications, including real-time object detection, fire detection systems, fall detection systems, emotion recognition systems, eye disease prediction models, crop prediction systems, and predictive maintenance solutions. These projects allowed me to gain hands-on experience in data preprocessing, model training, evaluation, deployment, and GUI-based application development.
I have successfully implemented real-time detection systems using advanced technologies such as YOLO (You Only Look Once), Convolutional Neural Networks (CNN), OpenCV, and TensorFlow. These projects focused on achieving high accuracy, efficient processing, and user-friendly interfaces while addressing practical challenges in safety, healthcare, agriculture, and automation domains.
Experience
Python Developer
Developed AI and Computer Vision-based applications. Implemented ML algorithms using TensorFlow and OpenCV. Gained hands-on experience in SDLC, debugging, and deployment. Collaborated with team members on real-time applications.
PROJECTS
Military Face Authentication & Vehicle Detection
Developed a secure Military Face Authentication & Vehicle Detection System using Python, OpenCV, Haar Cascade, CNN, and YOLO. Implemented facial authentication for authorized personnel and real-time vehicle detection. Integrated an SQLite database for secure personnel verification and developed a real-time monitoring and alert system to enhance security and surveillance. Collaborated with the development team to design, test, and optimize the application.