Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 1
Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial
Project Overview
This project is a full stack AI-powered Cab Booking System built using Next.js with TypeScript for the frontend and FastAPI (Python) for the backend. The platform allows passengers to search drivers, book rides, track ride status, and manage ride history while drivers can accept, start, and complete rides through their own dashboard.
Core Features (Implemented)
The project includes a complete ride booking workflow, authentication system, driver and passenger dashboards, dynamic pricing system, and modern responsive UI.
Booking System
- Smart search to filter drivers by pickup city and vehicle type
- Instant ride booking with selected driver
- Real-time ride status tracking (Pending → Approved → Active → Completed)
- Passengers can cancel pending rides
- Book again option to schedule the same ride automatically for tomorrow
User Management
- Role-based access system (Passenger and Driver)
- Secure login/signup with JWT authentication
- Profile management system
- Driver verification with vehicle details
Passenger Features
- Ride dashboard with complete history
- Driver contact with click-to-call
- Ride receipts with detailed fare breakdown
- Download or print PDF receipts
- Real-time ride status updates
Driver Features
- Manage current ride bookings
- View ride history
- Accept, reject, start, and complete rides
- View passenger details
- Full ride lifecycle management
Pricing & Payments
- Dynamic fare calculation
- Promo code discount system
- Multiple passenger charges
- Transparent fare breakdown
UI / UX Features
- Modern dark theme UI
- Mobile responsive design
- Smooth loading states
- User-friendly error handling
- Interactive animations
Technical Stack
- Backend – FastAPI (Python)
- Frontend – Next.js + TypeScript
- Database – SQLAlchemy ORM
- Authentication – JWT Tokens
- API Architecture – RESTful APIs
⚙️ Project Setup & Installation
2️⃣ Backend Setup (FastAPI)
cd backend python -m venv venv # Activate environment venv\Scripts\activate pip install -r requirements.txt # Run server uvicorn main:app --reload
3️⃣ Frontend Setup (Next.js)
cd frontend npm install npm run dev
4️⃣ Open the Application
- Frontend → http://localhost:3000
- Backend API → http://localhost:8000
- API Docs → http://localhost:8000/docs
Tutorial Topics
- Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 1
- Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 2
- Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 3
- Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 4
- Build AI Cab Booking System Website Using Prompt Engineering | AI Agent Project Tutorial | Part 5