Dagmawi Zewdu 👋
A Passionate Frontend Developer 🖥️ & Backend Developer having 7+ years of Experiences over 3+ Country Worldwide.
Client For:
AddisSphere
Services:
Hotel Booking & Travel Guide
Overview
ArifSpot is a mobile application designed to simplify hotel bookings, museum visits, and attraction site explorations. The app allows users to browse hotels, book accommodations, and explore nearby attractions with detailed location information. Integrated with a dynamic mapping system, ArifSpot provides users with an interactive travel experience, showcasing nearby points of interest based on their current location. Whether you're looking for accommodations, cultural sites, or leisure activities, ArifSpot delivers a seamless and personalized travel planning experience.
Frontend Tools: React Native, React Native Maps, React Native Navigation
Backend Tools: Node.js, Express, MySQL
System Integration and Architecture: ArifSpot's architecture is designed to efficiently handle large-scale location data while ensuring a smooth user experience. The backend utilizes MySQL for structured data storage, optimizing queries for quick retrieval of hotels, attractions, and nearby places. The app dynamically fetches and filters listings based on city, price range, and proximity, leveraging React Native Maps for real-time geolocation services. The combination of an optimized database structure and API-driven interactions ensures seamless performance and accurate location-based recommendations.
Challenges
Developing ArifSpot involved tackling challenges related to managing large datasets, implementing efficient geolocation services, and ensuring accurate filtering based on user preferences such as city, price range, and proximity. The complexity of labeling nearby spots accurately and handling dynamic location-based queries required optimized database design and API handling. Additionally, maintaining a responsive and intuitive user interface was crucial to providing a smooth booking experience.
Efficiently Labeling and Managing Nearby Spots
- Challenge: Handling large datasets and accurately categorizing nearby attractions, hotels, and museums based on location was challenging due to dynamic updates and diverse locations.
- Solution: Implemented an optimized database schema with indexed location-based queries, enabling faster and more accurate retrieval of nearby places. Integrated a geospatial data handling approach to dynamically update nearby attractions based on user location.
Optimizing Search and Filtering by City & Price
- Challenge: Ensuring that users receive relevant results when filtering by city, price range, and attraction type required an efficient data retrieval mechanism.
- Solution: Optimized MySQL queries using indexing and caching to enhance filtering performance. Implemented API-driven filtering with dynamic query construction to improve response time and search accuracy.
Real-Time Location-Based Recommendations
- Challenge: Providing real-time suggestions for nearby places based on a user’s location without causing performance bottlenecks.
- Solution: Utilized React Native Maps with geolocation services, implementing optimized distance calculations and lazy loading techniques to dynamically fetch and display relevant places.
Results/Conclusion:
By optimizing MySQL queries for location-based filtering, refining geolocation algorithms, and implementing a structured data approach, ArifSpot successfully addressed key challenges. The result is a high-performance mobile app that provides users with an intuitive, real-time experience for hotel bookings and travel exploration.
