Relational Database with UI and Backend Integration For E-Commerce
September 2022 - January 2023
A comprehensive e-commerce platform built from the ground up, featuring a robust relational database, responsive user interface, and seamless backend integration with automated data management.
Key Achievements
- Full-Stack Development: Created complete e-commerce solution using JavaScript, CSS, HTML, and SQL
- Responsive UI: Developed user-friendly and responsive interface with seamless database connectivity
- Database Design: Employed SQL DDL scripts for defining tables, relationships, constraints, and triggers
- Automation: Implemented SQL triggers to automate actions based on predefined events, enhancing data consistency
- Product Management: Built comprehensive system allowing users to add, update, and remove products through the UI
- Data Retrieval: Developed efficient SQL queries for displaying product information, customer data, and order details
Technical Stack
- Frontend: JavaScript, HTML/CSS, React.js
- Backend: Node.js, JavaScript
- Database: SQL, Relational Database Design
- Package Management: npm
- Version Control: Git & GitHub
Technical Highlights
- Database Architecture: Designed comprehensive schema with proper relationships and constraints
- Trigger Implementation: Created automated triggers for maintaining data integrity and consistency
- UI/UX Design: Built intuitive interface for product and order management
- Backend Integration: Established seamless connection between frontend and database
- Documentation: Comprehensive project documentation including database schema, UI design, and backend code
Features
- Product catalog management with CRUD operations
- Customer data management and order tracking
- Automated data validation and consistency checks
- Responsive design for multiple device types
- Real-time data updates and synchronization
Impact
This project showcases full-stack development capabilities, database design expertise, and the ability to create production-ready e-commerce solutions with proper data management and user experience considerations.