University Cafeteria Mobile App Development
Budget: $750 – $1,500 USD
I'm looking for a seasoned mobile app developer to create an Android application for our university cafeteria. This app should help streamline meal ordering for students and staff, enhancing their cafeteria experience.
Key Features:
1. Menu Browsing: Users should be able to view the cafeteria's offerings in an easy and intuitive manner.
2. Meal Ordering: A seamless process for placing meal orders.
3. Order Tracking: Users should be able to track the status of their orders.
4. Secure Online Payment: An integrated, secure payment system.
5. AI Recommendations: Using machine learning to suggest meals based on user data, dietary goals, budget, and previous orders.
6. Scheduled Pickup: Users should have the option to schedule a meal pick-up.
7. Promotions: Notifications about ongoing promotions.
8. Admin Panel: A backend interface for cafeteria admin to manage menus, orders, and promotions.
The ideal candidate will:
- Have extensive experience in Android app development.
- Be proficient in creating modern, responsive UI/UX designs.
- Have experience with integrating machine learning frameworks (like TensorFlow Lite) into applications, particularly for recommendation systems.
User Authentication: The app will use a simple Email and password authentication system.
Dietary Preferences: The AI system should cater to vegetarian, gluten-free, and diabetes-friendly meals.
Payment Methods: The app should support Credit/Debit cards, Apple Pay, and cash transactions.
Your bid will be evaluated based on your relevant skills and experience. Please include examples of similar projects you have completed in your proposal.
Key Features:
1. Menu Browsing: Users should be able to view the cafeteria's offerings in an easy and intuitive manner.
2. Meal Ordering: A seamless process for placing meal orders.
3. Order Tracking: Users should be able to track the status of their orders.
4. Secure Online Payment: An integrated, secure payment system.
5. AI Recommendations: Using machine learning to suggest meals based on user data, dietary goals, budget, and previous orders.
6. Scheduled Pickup: Users should have the option to schedule a meal pick-up.
7. Promotions: Notifications about ongoing promotions.
8. Admin Panel: A backend interface for cafeteria admin to manage menus, orders, and promotions.
The ideal candidate will:
- Have extensive experience in Android app development.
- Be proficient in creating modern, responsive UI/UX designs.
- Have experience with integrating machine learning frameworks (like TensorFlow Lite) into applications, particularly for recommendation systems.
User Authentication: The app will use a simple Email and password authentication system.
Dietary Preferences: The AI system should cater to vegetarian, gluten-free, and diabetes-friendly meals.
Payment Methods: The app should support Credit/Debit cards, Apple Pay, and cash transactions.
Your bid will be evaluated based on your relevant skills and experience. Please include examples of similar projects you have completed in your proposal.