HELLO, IT'S ME

PRASANTH KUMAR

I am an AIML Engineer

Eager to leverage my strong programming skills and problem-solving abilities to contribute to innovative projects. Committed to continuous learning and professional growth in a dynamic environment.

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Prasanth Kumar

About Me

Student & Developer

Hello! I'm a passionate student with a deep interest in technology, specializing in Artificial Intelligence and Machine Learning. Currently pursuing my degree in Computer Science, I have hands-on experience in programming languages like C, C++, and Python. I've also worked on several projects including face emotion detection using Python and web development.

Along with my technical expertise, I possess strong communication skills, teamwork, and a passion for innovation. Outside of academics, I am a state-level table tennis player and enjoy taking on new challenges in both professional and personal growth.

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My Skills

Web Development

I specialize in creating responsive, dynamic, and user-friendly web applications using technologies like HTML, CSS, JavaScript, PHP, and MySQL. My projects focus on delivering seamless user experiences and efficient backend functionality.

Machine Learning

With a strong foundation in AI and ML, I develop models for tasks like face emotion detection, classification, and predictive analysis using Python libraries such as TensorFlow, Keras, and Scikit-learn.

Soft Skills

I possess excellent communication and teamwork abilities, complemented by my problem-solving skills. These strengths have been crucial in collaborating on projects and presenting technical solutions effectively.

My Projects

Face Emotion Detection Project

Face Emotion Detection

A machine learning model built using Python and OpenCV to detect human emotions based on facial expressions, leveraging TensorFlow and Keras for deep learning.

project

Laptop Service Management

An end-to-end web application for managing service requests, built using PHP, MySQL, and JavaScript, providing real-time request tracking and a client dashboard.

Face Liveness Detection Project

Face Liveness Detection

A security solution using deep learning to differentiate between real faces and spoofed ones, helping prevent fraudulent access in facial recognition systems.

Weather App Project

Weather App (API)

A responsive weather application using an external API to display real-time weather data based on location input, developed with JavaScript and Bootstrap.

Learning Management System Project

Learning Management System

A comprehensive platform for course management, designed using the MERN stack (MongoDB, Express, React, Node.js) for efficient online learning experiences.

E-commerce Website Project

E-commerce Website

A fully functional e-commerce website developed with HTML, CSS, and JavaScript, featuring product listings, a shopping cart, and a secure checkout system.

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