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Talha Muneer

FAST · 2021 · 17I-0229
Email
Phone
LinkedIn
GitHub

Academic

Program
BS
CGPA
Year
2021
Education
FAST CS
Address
DOB

Career

Current role
Target role
Skills
Python, Flask, Flutter, GitHub, TensorFlow, Keras

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.
Image Inpainting Using Deep Learning Models 
A multi-platform-based app is being which is used to denoise, colourise B&W images along with 
super resolution and restoration of images. The app is using deep learning models at back-end to 
perform the following actions. There are two interfaces, web interface where user can select what 
he wants to do with the image and then upload the image and let it process. After process is 
complete, the user will be displayed with the processed image which he can save by right clicking 
on it and hit save image. The second interface is a mobile app where user can select the action he 
wants to perform and then given option to give image from camera or select from gallery, after 
which the image is uploaded on server and processed and user can view the processed image on 
the final screen. The backend is deployed on cloud to ensure stability and since it requires high 
computational 
power, 
cloud 
is 
the 
best 
option. 
Features include: 
 Multi-platform app 
 Denoise Images 
 Colourise black and white images 
 Super resolution of pixelated images 
 Restore damaged images. 
Take live pictures from mobile camera and process 
 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Python, Flask, Flutter, GitHub, TensorFlow, Keras 
Supervisor Name: 
Dr. Irum Inayat 
Group Members:   
Faheem Ashraf (17I-0061) 
Muhammad Mehlab (17I-0188) 
Talha Muneer (17I-0229)

AI enrichment

Talha Muneer is a BS graduate who contributed to a multi-platform application for image processing, including denoising, colorization, super-resolution, and restoration. The project utilized deep learning models deployed on the cloud, with a web interface built using Flask and a mobile app developed in Flutter.
Skills (AI)
["Python", "Flask", "Flutter", "TensorFlow", "Keras", "Deep Learning", "Image Processing", "Cloud Deployment", "GitHub"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 216
Created: 1778144159