Mobile Application for Contextual Venue Discovery Based on User Mood and Preferences

The client faces a market gap where existing apps do not provide quick, mood-based venue discovery. Users, both tourists and locals, struggle to find suitable restaurants, bars, or clubs that match their current state—such as seeking relaxation or lively entertainment—leading to dissatisfaction and decreased engagement.

A mid-sized startup developing an app to help users find hospitality venues that match their current mood and activity level, utilizing real-time data and user preferences.

• Develop a mobile app enabling quick filtering of venues based on user mood and crowd levels.
• Integrate real-time data sources, such as location-based APIs, for up-to-date venue information including reviews, activity levels, and operational details.
• Create an intuitive, gamified user interface utilizing symbols, emojis, and color-coded indicators for ease of use.
• Implement features allowing users to save favorite venues, share options, and direct access to actions like booking or navigation.
• Ensure the app provides accurate proximity-based venue suggestions with dynamic visual cues reflective of current crowd density and vibe.

• Three-step filter quiz for users to specify mood, activity level, and preferred venue type.
• Color-coded visual indicators (e.g., blue for quiet, red for crowded) representing venue activity levels on both list and map views.
• Integration with external APIs (such as location and venue data providers) to fetch current venue info including hours, reviews, interior photos, and pricing.
• Venue detail view presenting comprehensive information: reviews, activity level, contact options (website, call, directions).
• Quick actions allowing users to visit websites, save favorites, call to book, and get directions directly from venue listings.
• Sharing functionality enabling users to send venue links to friends via messaging apps and add venues to personal notes or favorites.

• Location services API for geolocation and nearby venues
• Venue data API (e.g., Google Places API or equivalent) for real-time info on operating hours, reviews, interior images, and pricing

• High system availability and responsiveness to support real-time data updates
• Scalable architecture to accommodate growing user base and venue data
• User privacy and data security compliance, especially for location data
• Performance benchmarks ensuring quick load times and smooth interactions

This app aims to significantly improve user engagement by providing a fast, intuitive venue discovery experience tailored to current mood and crowd conditions. Objectives include increasing active user sessions, improving venue satisfaction ratings, and fostering social sharing, ultimately strengthening the client’s market position in the hospitality technology sector.