Muhammad Haris Anwar

Academic

Career

Verbatim text

Fashionista
A web application which will detect the Outfits and recommend the clothes on the basis of event .
The user is asked to insert the picture of any clothes. The model will then detect the clothes and separate the top, bottom and calculate its mask, after this the top or bottom of the picture is forwarded and treated as the input , then according to this input the recommended outfit(top or bottom) will be viewed from the e-commerce store.
Features include:
-E-commerce store from where users can find different clothes.
- Users can detect clothes and categorize them.
- Recommendations of the Outfits.
- Storing the data of the users.

Fashionista
A web based application which will recommend the outfits on the bases of events and style.
Architecture
User Preferences Database
Recommendation Module
Cloths Database
Recommendations
Timeline
1)Data Collection
2) Data Pre-prosressing
3) Style Base Recommendation system
ITERATION 2
1)Event-base Recommendation System
2)Creation Of Unified Model
ITERATION 4
ITERATION 1
1)Style-base Recommendation System
2)Testing Models
ITERATION 3
1)Integration Of Web Application With Models
Tools
MySQL
OpenCV
ANACONDA
Supervisor
Ms. Amna Irum
Group Members
M. Haris Anwar
i18o6o8
Talha Rashid
Technology Used:
Python, OpenCV, MongoDB, React, flask, HTML5, CSS, TensorFlow,Anaconda
Supervisor Name:
Ms. Amna Irum
Group Members:
Muhammad Haris Anwar (i19 - 0608)
Talha Rashid (i19 - 1986)

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