Authors:
Shatakshi¹, Md. Altamash Alam¹, Manya Gupta¹, Amir Taque¹, Ms. Neetu Kumari Rajput²
¹Department of Information Technology, Noida Institute of Engineering and Technology, Greater Noida, India
²Professor, Department of Information Technology, Noida Institute of Engineering and Technology, Greater Noida, India
Emails: er.shatakshii@gmail.com, altamashalam24460@gmail.com, er.manyag172@gmail.com, amirtaque2@gmail.com, neetu.rajput@niet.co.in
Vintara is an AI-driven, scalable e-commerce platform designed to enhance product navigation, personalization, and security. It integrates intelligent automation, secure Razorpay payments, real-time order tracking, multilingual and multi-currency support, and a user-friendly responsive interface built with HTML, CSS, Bootstrap, and JavaScript.
- AI-powered product recommendations based on rule-based personalization
- Secure transactions using Razorpay payment gateway
- Real-time order tracking and status updates
- Loyalty-based rewards system with personalized discounts
- “Pay Later” option unlocked after 50 successful transactions
- Multi-language and multi-currency support for global accessibility
- Cross-device compatibility with responsive UI design
- Cloud-based deployment using AWS and Docker containers
- Frontend: HTML5, CSS3, JavaScript, Bootstrap5
- Backend: Node.js / Express (assumed), API integration
- Database: MySQL (Relational Database)
- Payment Gateway: Razorpay
- Cloud Hosting: AWS EC2
- Containerization: Docker
- User Interface Layer: Responsive design for intuitive navigation
- Frontend Logic Layer: Handles dynamic behaviors and API calls
- Backend Application Layer: Business logic, authentication, rewards, and payments
- Database Layer: Stores users, orders, and payments with referential integrity
- Payment Layer: Razorpay integration for secure payment processing
- Cloud Layer: AWS EC2 and Docker for scalable deployment
- User logs in and selects products
- Total cost is calculated and payment initiated via Razorpay
- On successful payment:
- Order details stored
- Rewards and discounts updated
- “Pay Later” unlocked if 50+ orders completed
- Confirmation and tracking info displayed
- On payment failure: user notified accordingly
- 98.3% payment success rate in testing
- UI responsiveness under 250 ms for filtering/sorting
- Mobile and desktop compatibility across major browsers
- Real-time order updates and multilingual support verified
- Secure and scalable backend performance with AWS and Docker
Vintara demonstrates that structured rule-based logic, real-time analytics, and secure integration can deliver a modern, user-centric e-commerce experience without complex machine learning models. It offers a scalable, reliable, and personalized platform for global online shopping.
Refer to the detailed project documentation for complete references supporting the design and implementation of this platform.
© 2025 Vintara Project Team. All rights reserved.
This project is licensed under the MIT License - see the LICENSE file for details.
You are free to use, modify, and distribute this software under the terms of the MIT License. However, please give appropriate credit to the original authors and do not use this project for unlawful or unethical purposes.
Note:
- Redistribution of this code or any derived work must include this copyright notice.
- Commercial use is allowed under the license, but attribution is required.
- No warranty is provided. Use at your own risk.
For any questions about licensing, please contact the project maintainers.