The document describes an adaptive user interface project. The project manager is Waseem Arain and supervisor is Afshan Ejaz. The team includes Muhammad Ali Siddiqui, Marium Baig, and Muhammad Maaz Siddiqui. The proposed solution is a software that changes its interface according to the user's detected mood in order to enhance their experience and retain them on the website. The workflow involves the user visiting the site, the model recording their mood via login, and recommending a suitable interface based on their detected emotion.

1. Adaptive User Interface
Project Manager: Waseem Arain
Supervisor: Afshan Ejaz
Team members:
• Muhammad Ali Siddiqui
• Marium Baig,
• Muhammad Maaz Siddiqui

2. Problem Statement
 For any company/organization it is very important for them to retain their
customers/clients, make sure the customer uses their website and caters their
expectations. Often, they’re successful in bringing traffic on their website but to
retain them is the key. We are proposing an intelligent interface that will adapt to
users' requirements/expectations. However human "emotions" are complicated,
most of the time the person feeling them is himself not aware of what exactly he is
feeling. This problem isn't specific to a group or community but is a general
problem throughout the world. If a software can correctly predict a persons'
emotion and take appropriate measures (for the betterment) this could bring a
huge impact.

3. Our Solution
 Our proposed solution is to make a software that would change its’ interface
according to the users’ mood.
 Our application reads the users emotion and tries to enhance the interface
according to the detected mood.
 As soon as the emotion is detected our system provides a suitable interface to the
user which caters the user’s mood and his requirements ultimately satisfying the
user with the website’s interface and retaining the user to use the website.

4. Work Flow
User visits the
website
User doesn’t feel
satisfied of the
interface of
website
User wishes to
change the
interface of the
website
User logs in
The model records
the user’s mood
Model recommends
suitable interface
w.r.t the emotionUser likes the
interface and
stays on the
website

5. I’m already angry and
this interface is so
tacky

7. After signing up, based on
Afshan’s details she was clustered
in group 3

8. When the user logs in with this credentials his picture is
taken in order to detect the emotion and then she is
redirected to an improved interface to based on her
emotions which caters her mood

9. I’m satisfied