social / dating network

This project was successfully completed by qtsteam for $3000 USD in 45 days.

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Project Budget
$1500 - $3000 USD
Completed In
45 days
Total Bids
Project Description

Payment will only be made once the website is built and tested and working.

I am expecting my developer to be able to communicate in English sufficiently well to execute this project.

All necessary skills to build a fully functional website required.

I have limited knowledge of website building so require full support.

As part of the initial project, part of the website will be required to be set up to capture registration. I will also require excellent SEO both on initial site and the completed project.

I have designed each page and I expect the user to improve on my basic designs.

I will require the programmer to liaise with the server company to configure the website to the servers.

The build is to include all data storage.

All programming to be original.

There must be an ability to increase functionality in the future.

Page 1 - Initial Registration

- Captures initial details including Name, email, location, password

- Displays photo’s of random users

- Displays static and google adverts

- Displays appropriate menu options

Page 2 - Full Profile Registration

-Captures other various information including likes and dislikes, full address, summaries

Uses functions such as data entry boxes, drop down lists, sliders and photo attachments

Stores up to 10 Photo’s

Displays appropriate menu options

Page 3 - Main Page including Contacts, Feature and Contact Profile

-Auto Scrolling photos of likely matches (these must be auto selected using data from user and other members)

-Scrollable list of Contacts (each include Photo, name, location, message button / indicator, Favorite button / indicator and Feature button / indicator and delete (X)). These must be displayed in priority of Contacts who have sent active messages, Favorites, then recency of contact.

-Special Displaying / Matching feature (See Feature)

-Data card for any member clicked (See DataCard)

-Displays appropriate menu options

-Displays static and google adverts

-Message function where a message conversation bubble is displayed where you can scroll through message conversation from that member, and reply to their messages

Page 4 - Main Page including Match me, Feature and Contact Profile

-As page 3 except the contacts are replaced with Matches Display

-Matches Display is a display of users who match user criteria and are generated once the Match Me menu option is pressed. One the Match me menu button is pressed, the program will automatically select members that best match the criteria of the user based on preferences and likes.

-Each user displayed in the Matches Display will have a Photo, Name, Age and location displayed.

-Data card for any contact pressed (See DataCard)

-Displays appropriate menu options

-Displays static and google adverts

Page 5 - Settings page

-Privacy settings

-Alert preferences

-Display preferences

-Block Lists

-Payments facilities to charge for advertising and some user facilities.


-The DataCard (with data from the member clicked) will appear on the screen anytime the user clicks another member.

-The DataCard shows the name, age and location of the member.

-The DataCard shows the 10 Photos, the members summaries and the members likes (displayed in order of preference with colour code to show strength of like). This info is pulled from the members profile.

-The DataCard also has an “add to Favorites” button, a “Feature” button and a “messaging “ option to send a message to that user.

Feature (to be discussed when job awarded)

There is also a special interactive feature which involves timers, some programming, but most info is drawn from the information already within the descriptions above.

Automated Functions

Automated Alert messages inside program, SMSs and Emails to users to advise of matches and to alerts of activity

Banner that displays likely matches on page 3 and page 4.

Match me service where a User is matched up with other members based on preferences stored in Profile including Age, Location, like

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