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Abdul Wahab

FAST · 2022 · I18-0617
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, TensorFlow, PyTorch, OpenCV, Flask, MySQL, Anaconda

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.
ForestFellow 
 
The forest fellow web application is being made, with the motivation of reducing deforestation and 
propagating efficient afforestation. The application provides benefits to both individual plant 
enthusiasts who want to do some good to our environment and to professional foresters by making 
their work more efficient and automated. Individuals can use the application to check the species of 
the plant beforehand and recommendations for plantation. On the other hand, the professionals 
can use the application for checking deforestation in an area or analyze growth of the forest by 
providing satellite images. 
Features include: 
 Detecting land features in an area from satellite images 
 Finding Specie information of plant from leaf images 
 Detecting and visualization of deforestation in an area from satellite images 
 Analysis and visualization of forest growth in an area from satellite images 
Getting plant recommendation for a specific city 
 
 
 
 
 
 
 
Technology Used: 
Python, TensorFlow, PyTorch, 
 OpenCV, Flask, MySQL, Anaconda 
Supervisor Name: 
Ma’am Amna Irum 
Group Members:   
Abdul Wahab (I18-0617) 
Ahmer Ejaz (I18 - 0620) 
Kamran Ahmed (I18 - 678)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 229
Created: 1778226154