The main objective of the Interactive Location Explorer project is to create a user-friendly, visually intuitive map-based platform that allows users to:

1. Search and Discover Locations: Enable users to explore locations based on specific search criteria, such as availability, type, or features.
2. Display Key Information: Present detailed information about locations directly on the map via interactive markers or pop-ups.
3. Improve Navigation: Allow seamless navigation across geographic areas with zooming and panning features.
4. Enhance User Engagement: Provide a visually appealing and engaging interface to improve the overall user experience.
5. Facilitate Decision-Making: Help users make informed decisions quickly by integrating search results with map visuals for easy comparison.

This project aims to combine functionality with design to make searching for locations more intuitive and efficient.

1. Market Analysis Report

• Research existing interactive map platforms (e.g., Airbnb, Zillow, Booking.com).
• Identify key features, user experience designs, and best practices.
• Include a summary of competitors’ strengths and weaknesses.

2. Backend Setup

• Set up a server to handle location-based data (e.g., properties, venues).
• Develop a database schema to store geolocation data, including latitude, longitude, and other relevant attributes.

3. Frontend Map Integration

• Implement a dynamic, interactive map using a library or API like Google Maps, Leaflet.js, or Mapbox.
• Integrate map markers with clickable pop-ups to display details about each location.

4. Search Functionality

• Build a search feature to filter locations based on user input (e.g., price range, amenities, proximity).
• Ensure search results are dynamically displayed on the map and in a list view.

5. Responsive Design

• Optimize the interface for different screen sizes, ensuring it works seamlessly on both desktop and mobile devices.

6. Project Documentation

• Provide a technical documentation file explaining the code, tools, and APIs used.
• Include a guide for deploying and maintaining the project.

Required technical kills:

• AI, machine learning, LLM;
• Python;
• Node.js;
• MongoDB;