AI-Powered Cross-Channel Advertising Platform
Budget: ₹37,500 – ₹75,000 INR
Please don't negotiate over price. It's a humble request.
Need to built platform where users don;t manually need to create ads on Meta and Google Ads platform. AI will create ads and find best audience to target.
This product aims to address the growing complexity of managing multi-channel digital advertising campaigns and the increasing demand for data-driven decision-making in the advertising industry. By unifying campaign management across social media, search, display, video, and emerging channels, AdSyncAI will provide a competitive edge for advertisers seeking to maximize ROAS and campaign effectiveness. It delivers higher conversion rates and lower cost-per-acquisition by leveraging specialized AI agents that continuously optimize campaigns.
Development Approach: Frontend-first with Node.js backend and AWS deployment
Timeline: 11 weeks total (8 weeks development + 3 weeks AWS deployment)
Primary Technologies: React, TypeScript, Material UI, Node.js, Express, PostgreSQL
Prior Knowledge: Python, FastAPI, AI/ML/NLP
Pre-Development Setup (Week 0)
Environment Setup
Install required development tools (Node.js, npm, Git, Docker, VS Code)
Create GitHub repository for project
Configure Docker Compose for local development dependencies
Set up development database (PostgreSQL in Docker)
Configure ESLint and Prettier for code standards
Create initial project documentation structure
Project Structure
Create folder structure for frontend project
Set up initial React application with TypeScript
Configure Material UI theme system
Establish mock data architecture for frontend-first development
Phase 1: Frontend Development (Weeks 1-4)
Week 1: Frontend Foundation
Set up React application with Material UI and TypeScript
Implement authentication UI flows (login, signup, password reset)
Create application shell with responsive layout and navigation
Build protected route structure
Set up Redux store with RTK for state management
Configure React Query for data fetching
Implement mock API service layer for development
Week 2: Dashboard & Campaign Management
Create dashboard layout and widgets
Implement key metrics displays
Build performance visualizations with mock data
Create campaign listing and filtering interface
Implement campaign detail view
Build campaign creation wizard (multi-step form)
Add campaign status management UI
Week 3: Audience & Creative Management
Build audience management interface
Create audience targeting criteria builder
Implement audience listing and detail views
Create creative asset library interface
Build creative upload and management components
Implement creative preview functionality
Create platform integration connection UI
Week 4: Analytics & API Requirements
Create analytics dashboard views
Implement custom report builder interface
Build data visualization components
Add user settings and profile management
Implement organization management UI
Document API requirements based on frontend needs
Create comprehensive API specification for backend development
Phase 2: Backend Development (Weeks 5-8)
Week 5: Backend Foundation
Set up Node.js project with Express and TypeScript
Configure PostgreSQL connection with TypeORM
Implement user and organization database schemas
Create authentication service with JWT
Build user registration and login endpoints
Implement role-based access control middleware
Set up testing framework for backend
Week 6: Campaign & Audience Service
Implement campaign database schema
Create campaign CRUD endpoints
Build campaign validation logic
Implement audience targeting schema
Create audience management API
Build audience validation rules
Connect frontend campaign features to real backend
Week 7: Creative Management & Platform Connectors
Set up creative asset storage
Implement creative management endpoints
Build file upload handling with validation
Create platform connector framework
Implement Google Ads connector (basic)
Create Facebook/Meta connector (basic)
Connect frontend creative management to backend
Week 8: Analytics & Integration Completion
Implement analytics data service
Create reporting endpoints with aggregation
Build dashboard metrics API
Implement TikTok connector (basic)
Create data export functionality
Complete frontend-backend integration
Perform end-to-end testing of all features
Phase 3: AWS Deployment (Weeks 9-11)
Week 9: AWS Infrastructure Setup
Create AWS account with proper IAM roles
Set up Terraform configuration for infrastructure
Configure VPC, subnets, and security groups
Create S3 buckets for frontend and assets
Set up CloudFront distribution
Configure RDS PostgreSQL database
Create ECS cluster for backend services
Week 10: Deployment Configuration
Create Docker configuration for backend services
Set up GitHub Actions for CI/CD pipeline
Configure frontend build process for production
Create deployment scripts for AWS
Set up staging environment
Configure environment variables for different environments
Implement monitoring and logging
Week 11: Deployment & Testing
Deploy frontend to staging environment
Deploy backend services to staging
Perform integration testing in staging
Fix any environment-specific issues
Implement production deployment
Create documentation for operations
Perform final security audit
Parallel Development Workflows
Frontend-Backend Integration Strategy
Begin integrating real backend APIs once they're available
Replace mock services one at a time
Implement feature flags to toggle between mock and real APIs
Use progressive enhancement to add backend-dependent features
Development and Testing Guidelines
Use feature branches for all development
Require pull request reviews before merging
Run automated tests on all pull requests
Deploy to staging environment after merging to develop branch
Perform manual testing in staging before production deployment
AWS Deployment Architecture
Frontend Infrastructure
S3 bucket for React application hosting
CloudFront distribution for content delivery
Route 53 for DNS management (future)
Certificate Manager for HTTPS (future)
Backend Infrastructure
ECS for containerized backend services
Application Load Balancer for routing
RDS PostgreSQL for database
ElastiCache Redis for caching (optional)
S3 for file storage
CI/CD Pipeline
GitHub Actions for automated workflows
Automated testing before deployment
Separate pipelines for frontend and backend
Staging deployment before production
Need to built platform where users don;t manually need to create ads on Meta and Google Ads platform. AI will create ads and find best audience to target.
This product aims to address the growing complexity of managing multi-channel digital advertising campaigns and the increasing demand for data-driven decision-making in the advertising industry. By unifying campaign management across social media, search, display, video, and emerging channels, AdSyncAI will provide a competitive edge for advertisers seeking to maximize ROAS and campaign effectiveness. It delivers higher conversion rates and lower cost-per-acquisition by leveraging specialized AI agents that continuously optimize campaigns.
Development Approach: Frontend-first with Node.js backend and AWS deployment
Timeline: 11 weeks total (8 weeks development + 3 weeks AWS deployment)
Primary Technologies: React, TypeScript, Material UI, Node.js, Express, PostgreSQL
Prior Knowledge: Python, FastAPI, AI/ML/NLP
Pre-Development Setup (Week 0)
Environment Setup
Install required development tools (Node.js, npm, Git, Docker, VS Code)
Create GitHub repository for project
Configure Docker Compose for local development dependencies
Set up development database (PostgreSQL in Docker)
Configure ESLint and Prettier for code standards
Create initial project documentation structure
Project Structure
Create folder structure for frontend project
Set up initial React application with TypeScript
Configure Material UI theme system
Establish mock data architecture for frontend-first development
Phase 1: Frontend Development (Weeks 1-4)
Week 1: Frontend Foundation
Set up React application with Material UI and TypeScript
Implement authentication UI flows (login, signup, password reset)
Create application shell with responsive layout and navigation
Build protected route structure
Set up Redux store with RTK for state management
Configure React Query for data fetching
Implement mock API service layer for development
Week 2: Dashboard & Campaign Management
Create dashboard layout and widgets
Implement key metrics displays
Build performance visualizations with mock data
Create campaign listing and filtering interface
Implement campaign detail view
Build campaign creation wizard (multi-step form)
Add campaign status management UI
Week 3: Audience & Creative Management
Build audience management interface
Create audience targeting criteria builder
Implement audience listing and detail views
Create creative asset library interface
Build creative upload and management components
Implement creative preview functionality
Create platform integration connection UI
Week 4: Analytics & API Requirements
Create analytics dashboard views
Implement custom report builder interface
Build data visualization components
Add user settings and profile management
Implement organization management UI
Document API requirements based on frontend needs
Create comprehensive API specification for backend development
Phase 2: Backend Development (Weeks 5-8)
Week 5: Backend Foundation
Set up Node.js project with Express and TypeScript
Configure PostgreSQL connection with TypeORM
Implement user and organization database schemas
Create authentication service with JWT
Build user registration and login endpoints
Implement role-based access control middleware
Set up testing framework for backend
Week 6: Campaign & Audience Service
Implement campaign database schema
Create campaign CRUD endpoints
Build campaign validation logic
Implement audience targeting schema
Create audience management API
Build audience validation rules
Connect frontend campaign features to real backend
Week 7: Creative Management & Platform Connectors
Set up creative asset storage
Implement creative management endpoints
Build file upload handling with validation
Create platform connector framework
Implement Google Ads connector (basic)
Create Facebook/Meta connector (basic)
Connect frontend creative management to backend
Week 8: Analytics & Integration Completion
Implement analytics data service
Create reporting endpoints with aggregation
Build dashboard metrics API
Implement TikTok connector (basic)
Create data export functionality
Complete frontend-backend integration
Perform end-to-end testing of all features
Phase 3: AWS Deployment (Weeks 9-11)
Week 9: AWS Infrastructure Setup
Create AWS account with proper IAM roles
Set up Terraform configuration for infrastructure
Configure VPC, subnets, and security groups
Create S3 buckets for frontend and assets
Set up CloudFront distribution
Configure RDS PostgreSQL database
Create ECS cluster for backend services
Week 10: Deployment Configuration
Create Docker configuration for backend services
Set up GitHub Actions for CI/CD pipeline
Configure frontend build process for production
Create deployment scripts for AWS
Set up staging environment
Configure environment variables for different environments
Implement monitoring and logging
Week 11: Deployment & Testing
Deploy frontend to staging environment
Deploy backend services to staging
Perform integration testing in staging
Fix any environment-specific issues
Implement production deployment
Create documentation for operations
Perform final security audit
Parallel Development Workflows
Frontend-Backend Integration Strategy
Begin integrating real backend APIs once they're available
Replace mock services one at a time
Implement feature flags to toggle between mock and real APIs
Use progressive enhancement to add backend-dependent features
Development and Testing Guidelines
Use feature branches for all development
Require pull request reviews before merging
Run automated tests on all pull requests
Deploy to staging environment after merging to develop branch
Perform manual testing in staging before production deployment
AWS Deployment Architecture
Frontend Infrastructure
S3 bucket for React application hosting
CloudFront distribution for content delivery
Route 53 for DNS management (future)
Certificate Manager for HTTPS (future)
Backend Infrastructure
ECS for containerized backend services
Application Load Balancer for routing
RDS PostgreSQL for database
ElastiCache Redis for caching (optional)
S3 for file storage
CI/CD Pipeline
GitHub Actions for automated workflows
Automated testing before deployment
Separate pipelines for frontend and backend
Staging deployment before production