Raqeeb Hamza · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2019

Education

SEECS

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DOB

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Career

Current role

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Target role

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Skills

Python, Keras, Tensorflow, Flask, HTML

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

IMGEN 

IMGEN Synthetic Image Generation through Generative Adversarial Networks. 
IMGEN is a web based platform for data scientist, that provide generated images of human faces. In 
the era of technology data is integral part of it. Especially in machine learning and artificial 
intelligence data plays a pivot role in training models. 
IMGEN is a GUI based web application. Our tool will provide desirable amount of image to user 
according to specification. The user will enter the specification i.e. eyebrows_shape, nose_shape, 
mouth_shape(smiling) etc of the images and no. of image he/she require and tool will generate 
those images. Our product will provide option to user to download the images or store it at web 
server. 
































Technology Used: 
Python, Keras, Tensorflow,  Flask, HTML 
Supervisor Name: 
Mr. Hassan Raza  
External Supervisor Name: 
Mr. Abdul Jabbar (Codes Orbit) 
Group Members:   
Raqeeb Hamza (i16 - 0226)

AI enrichment

Raqeeb Hamza is a BSCS graduate who contributed to IMGEN, a web-based platform for generating synthetic human faces using Generative Adversarial Networks. The project involved building a GUI application with Flask and HTML to allow users to specify facial features and download generated images.

Skills (AI)

["Python", "Keras", "Tensorflow", "Flask", "HTML", "Generative Adversarial Networks", "Web Development"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 199
Created: 1778144016