FoodHere is an intuitive and personalized food-ordering platform designed to optimize meal choices for users based on key metrics such as food quality 🍽️, cost efficiency 💰, calorie intake 🥗, and personal dietary preferences 🥑. By utilizing advanced analytics 📊 and machine learning technologies 🤖, FoodHere enhances user satisfaction through helpful meal suggestions and intelligent tracking of eating habits 📈. Key quality attributes such as availability, scalability, and maintainability are prioritized to ensure seamless user experiences and future growth 🚀.
Name: Jiayao Chen
Student number: 47816886
FoodHere delivers a comprehensive suite of engaging and practical features:
🍽️ Food Browsing & Ordering
Users browse meal options from various providers, filtering by price, nutritional value, ratings, and cuisines, seamlessly placing orders.
🤖 AI-driven Recommendations
Leverages user data (searches 🔍, orders 📦, likes ❤️, deletions 🗑️) to intelligently suggest personalized meal choices aligning with health goals 💪 and budgets 💳.
📅 Diet & Nutrition Tracking
Automatically tracks caloric intake 🍏, macros 🥑, and dietary patterns to promote healthier eating habits.
💰 Cost-efficiency Insights
Presents meal options sorted by optimal quality, quantity-per-cost efficiency 💲, and user satisfaction ⭐, enabling smarter budgeting decisions.
🌟 Social Engagement
Users share reviews 🗣️, connect with friends 🤝, and engage in community interactions around food preferences, enhancing user retention and enjoyment.
Scalability ensures smooth performance during growth, handling increased user volumes without lagging or downtime.
Maintainability ensures the software is easily modifiable, sustainable, and adaptable over time, enabling regular feature updates.
Interoperability ensures FoodHere can seamlessly integrate and exchange data with external APIs such as nutrition databases 🍏 and restaurant services 🍽️.
If trade-offs become necessary, priorities will be: Scalability > Maintainability > Interoperability.