I am Pritkumar Koradiya, a MERN Stack Developer and B.Tech Computer Engineering student at PP Savani University, Surat.
I have hands-on experience building AI-powered and full-stack web applications using React.js, TypeScript, Node.js, Express.js, MongoDB Atlas, REST APIs, and Gemini API.
I developed Deadline Buddy AI as a solo project for the Vibe2Ship Hackathon, where I built an AI-powered student productivity and deadline management platform. I also built a Restaurant Management System with role-based access control for Admin, Staff, and Customer modules.
| Open To | Details |
|---|---|
| Software Development Internship | MERN Stack, Frontend, Backend, Full Stack |
| AI-Powered Web Applications | Gemini API, Google AI Studio, Productivity Tools |
| Full Stack Projects | React.js, Node.js, Express.js, MongoDB Atlas |
| Hackathon Collaboration | Web apps, AI apps, real-world problem solving |
Deadline Buddy AI
Deadline Buddy AI is a full-stack AI-powered student productivity and deadline management web application built as a solo project for the Vibe2Ship Hackathon.
| Category | Details |
|---|---|
| Stack | React.js, TypeScript, Node.js, MongoDB Atlas, Gemini API |
| Hackathon | Vibe2Ship Hackathon |
| AI Integration | Gemini API via Google AI Studio |
| Features | AI priority score, smart reminders, next-action suggestions, personalized study timelines |
| UI Features | Dark/light mode, responsive UI, category filtering, progress dashboard |
| Repository | View Repository |
| Live Demo | View Live Project |
Built a full-stack AI-powered productivity app using React.js and TypeScript with Vite on the frontend and MongoDB Atlas for cloud-based data persistence.
Integrated Gemini API to analyze task parameters such as deadline, difficulty, importance, and estimated hours. The app generates AI priority scores, smart reminders, next-action suggestions, and personalized study timelines.
Delivered 20+ features, including task CRUD, subtask checklists, priority matrix, progress analytics dashboard, achievement badges, category filtering, dark/light mode toggle, and fully responsive UI.
Restaurant Management System
Restaurant Management System is a full-stack MERN application built for managing restaurant operations with role-based access control.
| Category | Details |
|---|---|
| Stack | React.js, Node.js, Express.js, MongoDB |
| Architecture | MERN Stack |
| Access Control | Role-Based Access Control for Admin, Staff, and Customer |
| Backend | RESTful Node.js and Express.js APIs |
| Database | MongoDB schema for menus, orders, and users |
| Repository | View Repository |
| Live Demo | View Live Project |
Developed a full-stack restaurant management system with Admin, Staff, and Customer modules. Each module includes different permissions, dashboards, and operational workflows.
Built a React.js frontend with an admin dashboard for digital menu management, table reservations, and live order tracking.
Designed MongoDB schemas for menu, order, and user data. Validated API endpoints using Postman and deployed the project as a live web service using Git and GitHub.
| Domain | Proficiency | Details |
|---|---|---|
| AI-Powered Web Applications | Intermediate | Built Deadline Buddy AI using Gemini API and full-stack web architecture |
| Gemini API Integration | Intermediate | Used Google AI Studio and Gemini API for AI priority scores and study timeline generation |
| Prompt Engineering | Beginner to Intermediate | Created prompts for task analysis, smart reminders, and next-action suggestions |
| Productivity Automation | Beginner to Intermediate | Built AI-based deadline management and student productivity workflows |
| Data-Driven Features | Beginner to Intermediate | Used MongoDB Atlas for task, user, and productivity-related data persistence |
2023 — Present
I build full-stack web applications using React.js, Node.js, Express.js, MongoDB Atlas, REST APIs, and GitHub. My project work focuses on AI-powered productivity apps, role-based systems, responsive UI, API development, and database-driven workflows.
Scope of Work
- Built MERN stack applications using React.js, Node.js, Express.js, and MongoDB.
- Integrated Gemini API through Google AI Studio for AI-powered features.
- Developed RESTful APIs for full-stack web applications.
- Designed MongoDB schemas for menus, orders, users, tasks, and productivity data.
- Tested API endpoints using Postman.
- Used Git and GitHub for version control and project deployment workflow.
- Built responsive frontend interfaces using React.js, HTML5, CSS3, and Bootstrap.
| Degree | University | Duration | CGPA |
|---|---|---|---|
| B.Tech in Computer Engineering | PP Savani University, Surat, Gujarat | 2023 — Present | 7.28 |
| Recognition | Details |
|---|---|
| Vibe2Ship Hackathon | Independently built and deployed Deadline Buddy AI using React.js, TypeScript, Gemini API, and MongoDB |
| HackVega 2.0 | Active participant building full-stack web development solutions under hackathon conditions |
| Odoo Hackathon 2026 | Registered participant for ERP and business automation development challenge |
| AI Project Builder | Built Deadline Buddy AI with Gemini API integration |
| MERN Stack Developer | Developed full-stack applications using React.js, Node.js, Express.js, and MongoDB |
| Role-Based Full Stack System | Built Restaurant Management System with Admin, Staff, and Customer modules |
Learning:
- Advanced MERN Stack Development
- Data Structures and Algorithms
- REST API Development
- Gemini API Integration
- MongoDB Atlas
- Full Stack Deployment
Building:
- AI-Powered Student Productivity Applications
- MERN Stack Web Applications
- Role-Based Full Stack Systems
- Responsive React.js Projects
Exploring:
- Scalable Backend Architecture
- Authentication and Authorization
- MongoDB Data Modeling
- AI-Based Productivity Tools
- Hackathon Product Development
Open To:
- Software Development Internships
- MERN Stack Developer Roles
- Full Stack Developer Roles
- AI-Integrated Web Projects
- Hackathon Collaboration