About Me
I'm Nithin Prithiv, a final-year B.E(CSE). Computer Science Engineering student at SKP Engineering College. I am skilled in HTML, CSS, JavaScript, Python, Machine Learning, Data Science, MySQL, Windows, Microsoft Office, and possess soft skills like Adaptability, Creativity, Problem-Solving, Time Management, and Teamwork. I've received awards for TamilNadu Science Fair-2018 and Play with Electronics-2019, President of Association of computer Engineering club,Member of Students Council and Coding club member, demonstrating my dedication to technology, innovation, and teamwork.
Web Technology
Bootstrap
Python
Machine Learning
Data Science
SQL
Training a neural network to classify X-ray images as COVID-19 positive or negative based on learned features.
Identifying and verifying individuals' faces in images or video streams. It can be implemented with OpenCV's built-in functions and libraries..
Computer vision techniques to detect and manage parking spaces for vehicles. .
Timetable generation through AI involves a systematic process of collecting activity details, constraints, and preferences. Once this data is gathered, it's transformed into a format suitable for computational analysis. .
Tea plants can be susceptible to several diseases that can significantly impact yield and quality. Common diseases include blister blight, caused by the fungus Exobasidium vexans, which affects leaves and can lead to defoliation. Another notable disease is gray blight, caused by the fungus Pestalotiopsis spp., causing leaf spots and dieback.
AI-powered patient registration and data optimization streamline the registration process by automating data entry and verification tasks. By leveraging AI algorithms, such systems can enhance data accuracy, reduce errors, and improve efficiency.
