Available for Opportunities

Hi, I'm Dev Kakadia

Turning ideas into reality through code.

View My Work Contact Me
About Me

Let me introduce myself.

Dev Kakadia

My name is Dev Kakadia. I am pursuing my bachelors in Computer Science from University of Windsor.

Personal Details

Fullname: Dev Kakadia
Birth Date: June 12, 2004
Occupation: Student
Phone: +1(226) 975 XXXX
Email: kakadiad@uwindsor.ca

Primary Skills

HTML5 90%
CSS3 85%
JavaScript 70%
PHP 95%
C 75%
Resume

Work Experience & Education

Work Experience

August 2022 - April 2024

Data Entry Clerk

Central Transport
  • Executed transfer of crucial shipping data into Central Transport's system.
  • Demonstrated attention to detail by accurately entering data into the system and boosting Microsoft Office Skills.
  • Work error-free with precise to prevent errors in invoicing process and experienced corporate working environment.

Education

April 2022 - Current

Bachelor's Degree in Computer Science

University of Windsor
March 2020 - April 2021

High School

RK Science School

Technical Skills

Some of the Technologies I have worked with

HTML5 HTML5
CSS3 CSS3
JavaScript JavaScript
C/C++ C/C++
Python Python
Java Java
React React
Bootstrap Bootstrap
Database Database
Git Git
GitHub GitHub
Three.js Three.js
Kotlin Kotlin
MongoDB MongoDB
MySQL MySQL
PostgreSQL PostgreSQL
PHP PHP
Node.js Node.js
npm npm
Next.js Next.js
TypeScript TypeScript
Netlify Netlify
Vercel Vercel
HTML5 HTML5
CSS3 CSS3
JavaScript JavaScript
C/C++ C/C++
Python Python
Java Java
React React
Bootstrap Bootstrap
Database Database
Git Git
GitHub GitHub
Three.js Three.js
Kotlin Kotlin
MongoDB MongoDB
MySQL MySQL
PostgreSQL PostgreSQL
PHP PHP
Node.js Node.js
npm npm
Next.js Next.js
TypeScript TypeScript
Netlify Netlify
Vercel Vercel
Portfolio

Here are some of my Projects

Feel free to check them out

TryOn Landing Page

TryOn Landing Page

A modern and engaging landing page designed for TryOn, a virtual fashion app. Showcases app features, promotes downloads, and drives user engagement with a responsive, visually appealing layout.

Live
React Next.js
TypeScript TypeScript
Acenternity Acenternity
JavaScript JavaScript
Tailwind Css Tailwind CSS

Project Details

Promotional web presence for the TryOn mobile app

  • Crafted a visually engaging, responsive landing page using Next.js and Tailwind CSS.
  • Highlights app features such as virtual try-ons, sustainable fashion, and secure transactions.
  • Integrated user testimonials, download links, and newsletter sign-up for lead generation.
  • Deployed on Vercel for fast and secure global delivery.
TryOn App

TryOn App

A virtual fashion mobile app enabling users to try on outfits using AI/photo tools before buying. Focused on sustainability, usability, and secure shopping.

Coming Soon
React Native React Native
Expo Expo
Google Auth Google Auth
Supabase Supabase
NativeWind NativeWind
Stripe Stripe

Project Details

A mobile app bringing AR-powered virtual fashion to life.

  • Developed a virtual try-on feature using AI/photo tools to preview clothing in real-time.
  • Enabled secure user authentication and product listing for sellers and buyers.
  • Promotes sustainable fashion by connecting users to eco-friendly clothing options.
  • Built with React Native, Node.js backend, and MongoDB for efficient data handling.
Phone Book Program

ProCook

Developed a React Native app for recipe management, meal planning, and cooking assistance with Firebase and Cloudinary integration.

Code
React Native React Native
Expo Expo
Firebase Firebase
NativeWind NativeWind
Cloudinary Cloudinary

Project Details

Developed a React Native app for recipe management, meal planning, and cooking assistance with Firebase and Cloudinary integration.

  • Developed a feature-rich mobile application for recipe management and meal planning, enhancing the cooking experience with a modern UI and real-time data synchronization.
  • Implemented Firebase Authentication for secure user login, Firestore for scalable data storage, and Cloudinary for optimized image handling.
  • Engineered offline data persistence and caching for smooth performance, ensuring usability without constant internet access and Integrated Expo Router for efficient navigation and NativeWind (Tailwind CSS) for responsive and visually appealing UI design.
RideFlow

RideFlow

A full-stack ride-hailing platform with real-time tracking and route optimization. Features an admin dashboard with data visualizations and robust user authentication.

Live
React React
TypeScript TypeScript
Node.js Node.js
MongoDB MongoDB
Firebase Firebase
JavaScript JavaScript
Google Auth Google Auth
Google Places Google Places
Tailwind Css Tailwind CSS
Vite Vite

Project Details

A modern ride-hailing platform with real-time tracking and route optimization.

  • Engineered a full-stack ride-hailing platform using React, TypeScript, and Node.js with Express, integrating Google Maps and Places APIs for real-time tracking and route optimization, and MongoDB for efficient driver assignment and data management.
  • Implemented robust security measures including Firebase Auth and JWT tokens for user authentication, and developed secure payment processing with modern encryption techniques, ensuring compliance with data security standards.
  • Created a responsive admin dashboard using React and Tailwind CSS, featuring data visualizations with Recharts and Chart.js for actionable insights, and optimized the application with Vite and Docker for improved performance and deployment consistency.
AI Trip Planner

AI Trip Planner

A full-stack travel planning application using React, Firebase, and Google Gemini AI for personalized travel itineraries.

Code Live
React React
Firebase Firebase
Google-Gemini Google Gemini
Tailwind Tailwind
Vite Vite
Node.js Node.js
express Express.js
Google Places Google Places
Google Auth Google Auth

Project Details

A comprehensive travel planning solution that leverages AI to create personalized itineraries.

  • Developed a responsive web application utilizing React and Firebase, enhanced by Google's Gemini AI to generate personalized travel itineraries. The AI models analyze user inputs and preferences to provide optimized travel suggestions.
  • Implemented a dynamic, responsive interface using Tailwind CSS and React, featuring secure sign-in functionality for personalized user experiences. The application allows for seamless user interactions and data management across different devices.
  • Integrated a full stack of technologies including React, Firebase, Tailwind CSS, Vite, and PostCSS, along with Google Gemini AI and third-party APIs for enriched functionality. This setup ensures robust data fetching, user authentication, and real-time updates, enhancing the overall user experience and application performance.
Phone Book Program

Phone Book Program

C program implementing database management with SQL integration.

Code
C C

Project Details

A comprehensive contact management system in C.

  • Developed a user-friendly phone book application in C, enabling efficient organization and management of contact information.
  • Designed an intuitive user interface to facilitate easy navigation and implemented effective data storage and retrieval mechanisms.
  • Demonstrated proficiency in database design and management, ensuring reliable data handling and accessibility.
Random Password Generator

Random Password Generator

Java application for generating secure passwords with customizable parameters.

Code
Java Java

Project Details

A secure password generator application built in Java.

  • Developed a robust Random Password Generator using Java, implementing advanced algorithms to create strong, unpredictable passwords for enhanced online security.
  • Designed user-friendly customization features and employed secure coding practices to fortify the application against potential vulnerabilities.
  • Conducted comprehensive automated testing to validate the password generation algorithm's security and reliability, ensuring high-quality output.
E-commerce Front

E-commerce Front

Next.js e-commerce frontend with responsive UI and Stripe integration.

Code Live
React React
Node.js Node.js
Nextjs Next.js
TailwindCss Tailwind CSS
MongoDB MongoDB
Axios Axios
Stripe Stripe
JavaScript JavaScript
AWS AWS
REST REST API

Project Details

A modern e-commerce platform built with Next.js and Stripe integration.

  • Engineered a full-stack e-commerce platform utilizing Next.js and React, featuring a responsive, mobile-first UI designed with Tailwind CSS.
  • Implemented React Context API for efficient state management, enhancing cross-device usability and interactivity.
  • Integrated MongoDB with Mongoose for robust data management, coupled with secure RESTful API interactions via Axios for user data, product management, and dynamic content updates.
  • Incorporated Stripe for secure payment processing and Optimized web performance using Next.js features including server-side rendering, static generation, and dynamic routing, resulting in improved load times and SEO.
StuDum

StuDum

A full-stack student dashboard helping students to manage all their files in cloud storage and get all the tools they need for their studies in one place.

Live
React React
TypeScript TypeScript
Node.js Node.js
MongoDB MongoDB
Firebase Firebase
JavaScript JavaScript
Youtube Youtube
Mathway MathWay
Tailwind Css Tailwind CSS
Vite Vite
AWS AWS

Project Details

A comprehensive student dashboard designed to centralize and streamline academic resources and productivity tools.

  • Developed a full-stack student management platform using React, TypeScript, and Node.js, integrating multiple educational tools and cloud storage solutions to create a unified academic workspace.
  • Implemented advanced file management with Firebase cloud storage, allowing students to upload, organize, and access study materials seamlessly across devices with robust security measures.
  • Created an integrated dashboard featuring educational tools like MathWay problem-solving, and personalized study tracking, enhancing student productivity and learning experience with YouTube Integrated.
Parenthesis Checker

Parenthesis Checker

C program using stack data structure for validating parentheses in expressions.

Code
C C

Project Details

A stack-based expression validator implemented in C.

  • Developed a high-performance Parenthesis Checker application in C, utilizing stack data structures to validate parenthesis order in input sentences.
  • Achieved 100% accuracy in parenthesis matching, demonstrating mastery of algorithm design and implementation.
  • Showcased advanced proficiency in data structures by effectively implementing and manipulating stack data structures.
Contact

Let's Work Together

Feel free to reach out for collaborations or just a friendly hello

Location

Windsor, Ontario

Canada

Email

kakadiad@uwindsor.ca

Send a message

Phone

+1(226) 975 XXXX

Call me

Send Me a Message

I'll get back to you as soon as possible