Engineering Report // 2026
GenCart.AI
Industry
Fintech & AI
Core Stack
MERN / Java
Deployment
Stable
/ SECTION 01
Technical
Blueprint.
Architectural decisions and system design analysis.
🚀 Excited to share my latest full-stack project: GenCart.AI!
Over the last few weeks, I’ve been building a production-ready, AI-powered e-commerce platform that bridges modern web design with robust enterprise-grade backend architecture.
Think multi-role management (Admin, Vendor, Shopper) meets a stunning, premium dark matte glassmorphic UI.
✨ Core Features:
🤖 Aastik AI (Gemini Integration): A floating AI assistant helping users shop, combined with an AI onboarding tool that autogenerates full product listings (titles, tags, descriptions) from a simple vendor prompt.
🏪 Vendor Isolation & Analytics: Dedicated dashboards for vendors to manage products, categories, track incoming orders, and view isolated revenue stats.
🧾 Automated Invoice System: Generates clean, printable itemized PDF Tax Invoices dynamically upon order delivery.
📈 Admin Control: Platform-wide oversight with interactive bar charts tracking order statuses and product distributions.
🛠️ Tech Stack:
Frontend: React 18.3, Vite, TailwindCSS (with extensive custom backdrop filters/animations)
Backend: Spring Boot 3.3.2, Java 21, Spring Security (Stateless JWT auth, Role-Based Access Control)
Database: PostgreSQL 16 (Spring Data JPA)
Building this gave me a deep appreciation for handling complex relational data schemas (isolating vendor data while aggregating platform analytics) and optimizing third-party AI API calls on the backend.
Check out the full codebase here: 👇
🔗 https://github.com/AbhikSharma1/GenCart.AI
I'd love to hear your thoughts on the architecture or the UI!
#SpringBoot #ReactJS #Java #GenerativeAI #FullStack #WebDevelopment #PostgreSQL #TailwindCSS
Over the last few weeks, I’ve been building a production-ready, AI-powered e-commerce platform that bridges modern web design with robust enterprise-grade backend architecture.
Think multi-role management (Admin, Vendor, Shopper) meets a stunning, premium dark matte glassmorphic UI.
✨ Core Features:
🤖 Aastik AI (Gemini Integration): A floating AI assistant helping users shop, combined with an AI onboarding tool that autogenerates full product listings (titles, tags, descriptions) from a simple vendor prompt.
🏪 Vendor Isolation & Analytics: Dedicated dashboards for vendors to manage products, categories, track incoming orders, and view isolated revenue stats.
🧾 Automated Invoice System: Generates clean, printable itemized PDF Tax Invoices dynamically upon order delivery.
📈 Admin Control: Platform-wide oversight with interactive bar charts tracking order statuses and product distributions.
🛠️ Tech Stack:
Frontend: React 18.3, Vite, TailwindCSS (with extensive custom backdrop filters/animations)
Backend: Spring Boot 3.3.2, Java 21, Spring Security (Stateless JWT auth, Role-Based Access Control)
Database: PostgreSQL 16 (Spring Data JPA)
Building this gave me a deep appreciation for handling complex relational data schemas (isolating vendor data while aggregating platform analytics) and optimizing third-party AI API calls on the backend.
Check out the full codebase here: 👇
🔗 https://github.com/AbhikSharma1/GenCart.AI
I'd love to hear your thoughts on the architecture or the UI!
#SpringBoot #ReactJS #Java #GenerativeAI #FullStack #WebDevelopment #PostgreSQL #TailwindCSS
99.9%
System Uptime
< 200ms
API Latency
Military
Encryption