Sharran Ravi

online

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About Me

My introduction

I'm a versatile student skilled in web and app development, artificial intelligence, and cybersecurity. I specialize in crafting robust, intelligent solutions across various platforms. My expertise spans creating dynamic websites and apps, implementing advanced AI models for data-driven insights, and fortifying systems with strong cybersecurity measures. I'm passionate about leveraging technology to innovate and deliver creative solutions that meet organization's needs effectively.

Software Development

Python Flutter HTML JavaScript CSS React Angular PHP MySQL Firebase Unit Testing

Artificial Intelligence

Deep Learning Detection Classification NLP Robotics Rule-Based System Drones Data Handling

Cyber Security

Firewall Network Protocols SQL Injection SIEM AWS Azure SQL Injection

Certificates

Microsoft

Certificates

TryHackMe

Certificates

Udemy

Online Courses

Projects

A YOLO-Based Deep Learning Model for Real-Time Face Mask Detection via Drone Surveillance in Public Spaces

Journal: Informatics and Computer Science Intelligent Systems Applications

This project involves developing a YOLO (You Only Look Once) version 4 deep learning model to detect face masks in real-time using drones for surveillance in public spaces. The system aims to monitor compliance with mask-wearing regulations to enhance public health and safety.

UTHM Foodie: Cafe Food Ordering Application

Status: Prototype v1.0

This application is developed using the Flutter framework and powered by Firebase for seamless and secure data management. This app has unique features such as order tracking, order scheduling, and PayPal payment gateway. The administrator can manage menu, and orders.

My Portfolio

Status: Prototype v1.0

This wesbite is developed using HTML, CSS, and JavaScript. It is powered by MySQL and PHP for the backend. This website is built to showcase my skills and expertise. It is also to attract career opportunities and networking.

Deep Learning Model for Human (Person) Detection from UAVs Surveillance in Search and Rescue Scenarios

Status: Initial Development

This project is currently under development where YOLOv5 going to be utilized. This project aims to leverage YOLOv5's robust capabilities by changing the parameters in real time human detection in search and rescue scenarios.

Get in touch

Do you have a exciting ideas in your mind, contact me here

Find Me

Email: sharran.ravii@gmail.com

Tel: +60 11 1121 7135