Taqa Mate - Energy Efficiency Recommendations

Taqa Mate is an energy efficiency recommendation app that helps users identify potential energy-saving opportunities for their buildings.

Project Structure

The application is structured as follows:

• client/: React frontend built with Vite and shadcn UI components
• server/: Express.js backend with API endpoints
• shared/: Common code and types shared between frontend and backend
• app/: Next.js app structure (in development)

Database Schema

The application uses PostgreSQL with Drizzle ORM for data modeling:

• users: User authentication and profiles
• buildings: Building information submitted by users
• monthlyConsumption: Monthly energy consumption data
• recommendations: Energy-saving recommendations
• buildingRecommendations: Junction table linking buildings to recommendations

API Endpoints

• POST /api/recommendations: Submit building data and get personalized recommendations
• GET /api/buildings/:id/recommendations: Get recommendations for a specific building

Development Notes

• The application uses Drizzle ORM with PostgreSQL for database operations
• API endpoints are defined in server/routes.ts
• Database schema is defined in shared/schema.ts
• Storage interface for database operations is in server/storage.ts