🌍 Safar Sathi AI

✈️ AI-Powered Travel Planning Web App

Safar Sathi AI is a modern AI-driven travel planning web application built using React (TSX) + Vite + TypeScript + Supabase.

It helps users generate personalized travel itineraries based on budget, destination, and duration, making trip planning fast, smart, and effortless.

🔗 Live Demo: https://safar-sathi-ai.vercel.app/

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🚀 Features

• 🧠 AI-powered itinerary generation
• 💰 Budget-based trip planning
• 📍 Smart destination recommendations
• 🗓️ Duration-wise travel scheduling
• 🔐 Supabase authentication & backend integration
• ⚡ Blazing fast performance with Vite
• 🎨 Modern UI built with Tailwind CSS
• 📱 Fully responsive across devices

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🛠️ Tech Stack

• ⚛️ React (TSX)
• ⚡ Vite
• 🟦 TypeScript
• 🗄️ Supabase
• 🎨 Tailwind CSS
• 🧹 ESLint

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📁 Project Structure

.
├── public/                # Static assets
├── src/                   # Main source code
│   ├── components/        # Reusable UI components
│   ├── pages/             # Application pages
│   ├── hooks/             # Custom React hooks
│   ├── lib/               # Utility functions
│   └── main.tsx           # App entry point
├── supabase/              # Supabase configuration
├── index.html
├── vite.config.ts
├── tailwind.config.ts
├── tsconfig.json
└── package.json

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🧑‍💻 Installation & Setup

1️⃣ Clone the repository

git clone https://github.com/your-username/safar-sathi-ai.git
cd safar-sathi-ai

2️⃣ Install dependencies

npm install

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🔑 Environment Variables

Create a .env file in the root directory and add:

VITE_SUPABASE_URL=your_supabase_url
VITE_SUPABASE_ANON_KEY=your_supabase_anon_key
VITE_OPENAI_API_KEY=your_openai_api_key

⚠️ Never commit your .env file to GitHub.

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▶️ Run the Project

Start development server:

npm run dev

App will run on:

http://localhost:5173/

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🏗️ Build for Production

npm run build

Preview production build:

npm run preview

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🌟 Why Safar Sathi AI?

Planning a trip manually can be overwhelming.

Safar Sathi AI simplifies everything by:

• Automating itinerary creation
• Optimizing travel plans within budget
• Structuring day-wise travel schedules
• Delivering instant AI-generated results

Built for performance, scalability, and real-world usability.

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📌 Future Improvements

• 🗺️ Google Maps integration
• 🌦️ Weather API integration
• 💳 Cost breakdown visualization
• 📊 User travel dashboard
• 🤖 Advanced AI personalization

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📜 License

This project is licensed under the MIT License.

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👨‍💻 Author

Built with ❤️ by Dilisha and Aryan