jalend15 / lunchplanner

Lunch Planner App

All the latest updates, details and usage instructions of the App are made available in the above repository.

An Android application that utilizes the ZOMATO API and Google Play Services location APIs to suggest random restaurants to the user based on location proximity and select filters such as type, distance or rating.Your long-awaited lunch time is about to begin in five minutes, you have no idea of what to eat, and your co-workers have encouraged you to try out a new restaurant. But where can that be? What location is capable of satisfying your sudden craving for a traditional greek gyro? And will this location lie within the proximity of your job in order to make it back on time? Instead of spending those precious five minutes searching the internet endlessly, you can simply find your answer on LunchPlanner. LunchPlanner is an Android application with the purpose to help its users find a location to eat within their preferred area of distance, cuisine category, meal type, and even price with a click of a few buttons. Or if you don’t want to go out or you don’t have a clue what is available at your canteen or mess, You can easily find what is available for you from pre saved information of weekly timetable or your favourite food for your favourite location.

Intended Users:

Millennials

Features:

1. Data Persistence / Intents / Location-Awareness / Fragments
2. User selects preferences in different areas:
3. Option: Try new location or location from favorites
4. Option: Distance willing to travel
5. Price Range
6. Meal Type
7. Cuisine Category
8. User can store locations in their favorites
9. User can store locations visited to optimize experience
10. User can view locations on maps
11. User can click a button to send intent to Google Maps
12. User can also get the contact number of restaurant
13. User can save his fixed daily meal for a week, just like the timetable with all the required details like price, rating, e.t.c

Non-Functional Requirements:

1. Security
2. Scalability