[Data] Dataset Collection for AI-Powered Trip Planner Project

[QuantumCoderrr]

We are building an AI-powered trip planner as part of our full-stack project, "Raahi." The AI model will generate personalized itineraries based on user inputs like destination, budget, group size, trip duration, and preferences. To train the model effectively, we need to gather a comprehensive dataset that includes a variety of user inputs and their corresponding itineraries.

Key Requirements:

• Dataset Size: 20,000 - 25,000 records
• Data Points:
• Destination: City, country, landmarks
• Budget: Low, medium, high
• Group Size: Solo, small group, family, large group
• Duration: 1-3 days, 4-7 days, 7+ days
• Preferences: Adventure, cultural, relaxation, family-friendly, romantic, etc.
• Itinerary: Daily plans, including transportation, activities, meals, and accommodations
• Seasonal Data: Data for different seasons (summer, winter, etc.)
• Weather Conditions: Average temperature, rainfall, and weather conditions for each destination
• Accommodation Preferences: Hotel ratings, types, locations
• Transportation: Modes of transport (flight, bus, car, etc.)

The dataset should cover a wide range of locations and preferences to ensure that the model can generate diverse and relevant itineraries for various users. The data should be collected from trustworthy sources, ensuring quality and accuracy.