WEBDPRO AI - AI-Powered E-Commerce Platform

Transform business ideas into fully functional e-commerce websites in minutes using AI

🎯 Preview Access

Preview Code: dprks99

Use this code to access the platform preview and test AI website generation features.

🚀 What is WEBDPRO AI?

WEBDPRO AI is a prompt-to-ecommerce SaaS platform developed by Webdpro Solutions Private Limited that leverages AWS Bedrock AI to generate complete online stores from natural language descriptions. Simply describe your business, and get a fully functional e-commerce website in 2-3 minutes.

✨ Key Features

🤖 AI-Powered Generation - Claude 3.5 Sonnet for intelligent code generation
🎨 Custom Design - Tailwind CSS with brand-specific styling
🖼️ AI Images - Amazon Titan for product and hero images
🔐 Secure Authentication - AWS Cognito with OTP and Google OAuth
💳 Payment Integration - Razorpay for seamless transactions
📦 Inventory Management - Real-time stock tracking and alerts
🚚 Delivery Tracking - Order fulfillment and GPS tracking
📊 Analytics Dashboard - Business insights and metrics
🌐 Custom Domains - Connect your own domain with SSL

🏗️ Architecture

AWS Services Used

Our platform leverages 20+ AWS services for a fully serverless, scalable architecture:

Core Compute & Hosting

AWS Amplify - Frontend hosting and CI/CD
AWS Lambda - 46 serverless functions across all services
Amazon EC2 (Elastic Compute Cloud) - Reserved for future scaling needs
AWS CloudFormation - Infrastructure as Code (IaC) for automated deployments

AI & Machine Learning

Amazon Bedrock - AI model hosting and inference
- Claude Sonnet 4 (Primary text generation)
- Nova Pro & Lite (Fallback models)
- Nova Canvas (Image generation)

API & Networking

Amazon API Gateway - 5 REST API gateways for microservices
Amazon CloudFront - Global CDN for fast content delivery
Amazon Route 53 - DNS management and custom domain routing
AWS Data Transfer - Cross-region and internet data transfer

Storage & Database

Amazon DynamoDB - 7 NoSQL tables for real-time data
Amazon S3 (Simple Storage Service) - 8 buckets for assets and websites
AWS Glue - ETL jobs for data transformation and analytics

Security & Authentication

Amazon Cognito - User authentication and authorization
AWS Key Management Service (KMS) - Encryption key management
AWS Secrets Manager - Secure credential storage

Monitoring & Operations

Amazon CloudWatch - Logging, metrics, and monitoring
Amazon X-Ray - Distributed tracing and performance analysis
Amazon Simple Notification Service (SNS) - Event notifications
Amazon Simple Queue Service (SQS) - Message queuing for async processing

Additional Services

Amazon Virtual Private Cloud (VPC) - Network isolation and security

Tech Stack

Frontend:

Next.js 14 (React 18)
TypeScript
Tailwind CSS
React Query
Hosted on AWS Amplify

Backend:

AWS Lambda (Serverless)
Node.js 18+ / 20.x
TypeScript
Serverless Framework
API Gateway REST APIs

AI Services:

AWS Bedrock (Claude Sonnet 4, Nova Pro/Lite, Nova Canvas)
Multi-model fallback system
Structured content generation

Database & Storage:

Amazon DynamoDB (7 tables, on-demand capacity)
Amazon S3 (8 buckets, versioning enabled)
Amazon CloudFront (Global CDN)

Authentication:

Amazon Cognito User Pools
Google OAuth 2.0
OTP-based login
JWT tokens

Payment:

Razorpay API
Subscription management
Webhook handling

📁 Project Structure

webdproAI/
├── frontend/              # Next.js web application
├── backend/               # Core API & authentication
├── ai_services/           # AI generation pipeline
├── inventory/             # Product & stock management
├── payments/              # Payment processing
├── delivery/              # Order fulfillment
├── orders/                # Order management
├── .env.template          # Environment variables template
└── README.md              # This file

🚀 Quick Start

Prerequisites

Node.js 18 or higher
AWS Account with Bedrock access
AWS CLI configured
Serverless Framework installed globally

Installation

Clone the repository

git clone https://github.com/webdpro-in/webdproai.git
cd webdproai

Install dependencies

npm install
cd backend && npm install
cd ../ai_services && npm install
cd ../frontend && npm install
cd ../inventory && npm install
cd ../payments && npm install
cd ../delivery && npm install
cd ..

Configure environment variables

Copy .env.template to .env in each service folder and fill in your values:

# Example for backend/.env
AWS_REGION=eu-north-1
AWS_ACCOUNT_ID=your-account-id
DYNAMODB_TABLE_PREFIX=webdpro

⚠️ Important: Never commit .env files. Use .env.template for reference only.

Enable AWS Bedrock Models

Go to AWS Console → Bedrock → Model Access and enable:

Claude 3.5 Sonnet
Claude 3 Haiku
Amazon Titan Image Generator

Deploy backend services

# Deploy backend
cd backend
npx serverless deploy --stage dev --region eu-north-1

# Deploy AI services
cd ../ai_services
npx serverless deploy --stage dev --region eu-north-1

# Deploy other services
cd ../inventory && npx serverless deploy --stage dev --region eu-north-1
cd ../payments && npx serverless deploy --stage dev --region eu-north-1
cd ../delivery && npx serverless deploy --stage dev --region eu-north-1

Update frontend configuration

Copy the deployed API URLs to frontend/.env.local

Start the frontend

cd frontend
npm run dev

Open your browser

Visit http://localhost:3000

🔧 Configuration

Environment Variables

Each service requires its own .env file. Use .env.template as a reference.

🔒 Security: All .env files are gitignored. Never commit credentials to version control.

🎯 How It Works

AI Generation Pipeline (4 Stages)

1. Spec Generation (10s)
   Input:  "Create a shoe store in Delhi"
   Output: JSON specification with products, colors, layout
   Model:  Claude 3.5 Sonnet

2. Code Generation (15s)
   Input:  JSON spec
   Output: React components + Tailwind CSS
   Model:  Claude 3.5 Sonnet with Haiku fallback

3. Image Generation (20s)
   Input:  Business type + product descriptions
   Output: Hero images, product images
   Model:  Amazon Titan Image Generator

4. Website Assembly (5s)
   Input:  Code + Images
   Output: Deployed website on S3 + CloudFront

Total Time: ~50 seconds from prompt to live website

📊 AWS Infrastructure

Lambda Functions (46)

Our serverless architecture consists of 46 Lambda functions across all services:

Backend Service (19 functions):

Authentication & User Management
Store CRUD Operations
Order Management
Domain Configuration
Cognito Triggers

AI Services (5 functions):

Spec Generation
Code Generation
Image Generation
Website Assembly
Health Check

Inventory Service (8 functions):

Product Management
Stock Tracking
Low Stock Alerts
Demand Prediction
Event Handling

Payments Service (6 functions):

Order Checkout
Subscription Management
Merchant Onboarding
Webhook Handling

Delivery Service (8 functions):

Order Assignment
Status Tracking
Cash Collection
GPS Tracking

DynamoDB Tables (7)

Table Name	Partition Key	Sort Key	Purpose
webdpro-delivery	delivery_id (S)	-	Delivery tracking and agent assignments
webdpro-orders	order_id (S)	-	Order management and processing
webdpro-payments	payment_id (S)	-	Payment transactions and subscriptions
webdpro-products	store_id (S)	product_id (S)	Product catalog and inventory
webdpro-stores	tenant_id (S)	store_id (S)	Store information and configuration
webdpro-tenants	tenant_id (S)	-	Multi-tenancy management
webdpro-users	phone (S)	-	User authentication and profiles

Region: Europe (Stockholm) eu-north-1
Capacity Mode: On-demand

S3 Buckets (8)

Core Services (Serverless Deployment):

webdpro-backend-dev-serverlessdeploymentbucket-* - Backend service deployment
webdpro-ai-services-dev-serverlessdeploymentbucket-* - AI services deployment
webdpro-inventory-dev-serverlessdeploymentbucket-* - Inventory service deployment
webdpro-payments-dev-serverlessdeploymentbucket-* - Payments service deployment
webdpro-delivery-dev-serverlessdeploymentbucket-* - Delivery service deployment

Application Storage:

webdpro-ai-storage-dev - AI models, temp files, and outputs
webdpro-assets-dev - Static assets, images, and generated sites
webdpro-websites-dev - Website generation and hosting resources

Region: Europe (Stockholm) eu-north-1

Complete AWS Services Breakdown

Service	Purpose	Region	Details
AWS Amplify	Frontend hosting & CI/CD	Global	Next.js app deployment, automatic builds
Amazon API Gateway	REST APIs	eu-north-1	5 gateways for microservices
Amazon Bedrock	AI model hosting	us-east-1, ap-southeast-1	Claude, Nova models
AWS CloudFormation	Infrastructure as Code	eu-north-1	Automated stack deployments
Amazon CloudFront	Global CDN	Global Edge	Website delivery, caching
Amazon CloudWatch	Monitoring & Logging	eu-north-1	Metrics, logs, alarms
Amazon Cognito	Authentication	eu-north-1	User pools, identity federation
AWS Data Transfer	Network traffic	Global	Cross-region, internet egress
Amazon DynamoDB	NoSQL Database	eu-north-1	7 tables, on-demand capacity
Amazon EC2	Compute (reserved)	eu-north-1	Future scaling capacity
AWS Glue	ETL & Data Processing	eu-north-1	Data transformation jobs
AWS Key Management Service	Encryption	eu-north-1	Key management, data encryption
AWS Lambda	Serverless Functions	eu-north-1	46 functions across services
Amazon Route 53	DNS Management	Global	Custom domain routing
Amazon S3	Object Storage	eu-north-1	8 buckets, versioning enabled
AWS Secrets Manager	Credential Storage	eu-north-1	API keys, database credentials
Amazon SNS	Notifications	eu-north-1	Event-driven messaging
Amazon SQS	Message Queuing	eu-north-1	Async task processing
Amazon VPC	Network Isolation	eu-north-1	Private networking, security
Amazon X-Ray	Distributed Tracing	eu-north-1	Performance analysis

Primary Region: Europe (Stockholm) eu-north-1
AI Region: US East (N. Virginia) us-east-1 & Asia Pacific (Singapore) ap-southeast-1

🧪 Testing

Run Backend Tests

cd backend
npm test

Run Property-Based Tests

cd backend
npm run test:property

Test AI Generation

curl -X POST <AI_SERVICE_URL>/generate/website \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Create a shoe store in Delhi",
    "userId": "test-user-123"
  }'

📈 Development Status

Component	Status	Completion
Authentication	✅ Working	95%
AI Generation	✅ Working	85%
Store Management	✅ Working	90%
Inventory	✅ Working	90%
Orders	✅ Working	90%
Payments	⚠️ Mock	60%
Delivery	⚠️ Partial	50%
Frontend	✅ Working	90%

Overall: 88% Complete

🛣️ Roadmap

Phase 1: Core Features (Current)

Phase 2: Advanced Features

Phase 3: Scale & Optimize

🤝 Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Development Guidelines

Follow TypeScript best practices
Write tests for new features
Update documentation
Keep commits atomic and descriptive

� License

This project is licensed under the MIT License - see the LICENSE file for details.

🏢 About Webdpro Solutions Private Limited

WEBDPRO AI is developed and maintained by Webdpro Solutions Private Limited, a technology company focused on empowering small businesses with AI-powered e-commerce solutions.

Our Mission

To democratize e-commerce by making it accessible and affordable for every small business in India through cutting-edge AI technology.

Contact Us

🌐 Website: webdpro.in
📧 Email: contact@webdpro.in
💼 Business Inquiries: business@webdpro.in

🙏 Acknowledgments

AWS Bedrock for AI capabilities
Anthropic Claude for code generation
Amazon Titan for image generation
Serverless Framework for infrastructure
Next.js team for the amazing framework

📞 Support

For issues, questions, or feature requests:

📧 Email: contact@webdpro.in
🐛 Issues: GitHub Issues
💬 Discussions: GitHub Discussions

🌟 Star History

If you find this project useful, please consider giving it a star ⭐

Built with ❤️ by Webdpro Solutions Private Limited

Empowering small businesses with AI-powered e-commerce solutions

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
.claude/worktrees		.claude/worktrees
.kiro/specs/webdpro-architectural-analysis		.kiro/specs/webdpro-architectural-analysis
ai_services		ai_services
backend		backend
delivery		delivery
demo_template		demo_template
frontend		frontend
inventory		inventory
orders		orders
payments		payments
scripts		scripts
.env.template		.env.template
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
RUN_THIS_NOW.txt		RUN_THIS_NOW.txt
amplify.yml		amplify.yml
deploy-fix.sh		deploy-fix.sh
deploy.sh		deploy.sh
package-lock.json		package-lock.json
package.json		package.json

Folders and files

Latest commit

History

Repository files navigation

WEBDPRO AI - AI-Powered E-Commerce Platform

🎯 Preview Access

🚀 What is WEBDPRO AI?

✨ Key Features

🏗️ Architecture

AWS Services Used

Core Compute & Hosting

AI & Machine Learning

API & Networking

Storage & Database

Security & Authentication

Monitoring & Operations

Additional Services

Tech Stack

📁 Project Structure

🚀 Quick Start

Prerequisites

Installation

🔧 Configuration

Environment Variables

🎯 How It Works

AI Generation Pipeline (4 Stages)

📊 AWS Infrastructure

Lambda Functions (46)

DynamoDB Tables (7)

S3 Buckets (8)

Complete AWS Services Breakdown

🧪 Testing

Run Backend Tests

Run Property-Based Tests

Test AI Generation

📈 Development Status

🛣️ Roadmap

Phase 1: Core Features (Current)

Phase 2: Advanced Features

Phase 3: Scale & Optimize

🤝 Contributing

Development Guidelines

� License

🏢 About Webdpro Solutions Private Limited

Our Mission

Contact Us

🙏 Acknowledgments

📞 Support

🌟 Star History

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