Android Application + Webservice> Firebird Bank Already with Data
• The application will follow the style of the Free Market application.
• I have a local database with the extension .FDB ie Firebird.
I need to CONSULT the data from this database from the created application. The data is:
1 - CODE
2 - DESCRIPTION
3 - PRICE
4 - CATEGORY
5 - PHOTO
This query will be done from a search text box just like in the ML and will return the data in the
screen of the app contained in the firebird database.
After consulting the app will list all products as per the search. After searching the app will have filters such as:
Best Result, Lowest Price, Highest Price
When entering the product the screen will be similar to the ML app (Photos, Description, Opinions, Price on view, Price
term, Quantity, Buy, Ask Field, Sharing Button. The questions will only be
shown to other users by approval on the control panel. After purchase will be generated
an order number, and the account for deposit / transfer or payment in the company.
The system must have a registration screen containing: Name, CPF / CNPJ, email, telephone, whatsapp and
password. Such data must be registered in the administrative panel for the registration to be authorized. At
time to authorize the registration the seller will choose the appropriate price table for that determined
After the authorized registration the user will enter with login and password. The application should have the following
5- MY ACCOUNT
• HOME - It should contain the search field similar to ML. Below is a rotating banner. Below
categories. And finally the newly registered products.
• NOTICES - Late Accounts, New Products, Holidays, Promotion, etc.
• FAVORITES - Identical to ML
• CATEGORIES - Same as ML
• MY ACCOUNT - Purchases, Questions, Finance, My Data
All data generated from the application will go to the administrative panel and wait for the
The panel shall store access information for each registered user, date and time
app, what were your searches, how long did it stay in the app, and what were your
shares. From such information generate reports.
I will need all source codes, and everything should be commented on.